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478 Program Highlights »
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Sun Dec 11th 04:00 - 08:00 PM @ Palacio de Exposiciones y Congresos de Granada
Registration at Congress Center
Placeholder
Mon Dec 12th 07:30 AM - 06:30 PM @ Congress Center, Floor Zero (Ground Floor)
Registration Desk at Congress Center
Tutorial
Mon Dec 12th 09:30 - 11:30 AM @ Andulucia II & III
Flexible, Multivariate Point Process Models for Unlocking the Neural Code
Jonathan W Pillow
Tutorial
Mon Dec 12th 09:30 - 11:30 AM @ Manuel de Falla
Linear Programming Relaxations for Graphical Models
Amir Globerson · Tommi Jaakkola
Break
Mon Dec 12th 11:30 AM - 12:00 PM @ None
Coffee Break
Break
Mon Dec 12th 11:30 AM - 12:00 PM @ None
Coffee Break
Tutorial
Mon Dec 12th 12:00 - 02:00 PM @ Manuel de Falla
Modern Bayesian Nonparametrics
Peter Orbanz · Yee Whye Teh
Tutorial
Mon Dec 12th 12:00 - 02:00 PM @ Andulucia II & III
Lagrangian Relaxation Algorithms for Inference in Natural Language Processing
Alexander Rush · Michael Collins
Break
Mon Dec 12th 02:00 - 04:00 PM @ None
Break
Tutorial
Mon Dec 12th 04:00 - 06:00 PM @ Manuel de Falla
Information Theory in Learning and Control
Naftali Tishby
Tutorial
Mon Dec 12th 04:00 - 06:00 PM @ Andulucia II & III
Graphical Models for the Internet
Amr Ahmed · Alex J Smola
Break
Mon Dec 12th 06:00 - 06:30 PM @ None
Break
Session
Mon Dec 12th 06:30 - 06:40 PM @ None
Opening Remarks and Awards
Terrence J Sejnowski · Peter L Bartlett · Fernando C Pereira
Session
Mon Dec 12th 06:40 - 07:00 PM @ None
Spotlight Session 1
Rob Fergus
Spotlight
Mon Dec 12th 06:40 - 06:44 PM @ None
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama · Aapo Hyvarinen
Spotlight
Mon Dec 12th 06:44 - 06:48 PM @ None
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Spotlight
Mon Dec 12th 06:48 - 06:52 PM @ None
Probabilistic amplitude and frequency demodulation
Richard E Turner · Maneesh Sahani
Spotlight
Mon Dec 12th 06:52 - 06:56 PM @ None
On the accuracy of l1-filtering of signals with block-sparse structure
Anatoli Juditsky · Fatma Kilinc Karzan · Arkadi S Nemirovski · Boris T Polyak
Spotlight
Mon Dec 12th 06:56 - 07:00 PM @ None
Active dendrites: adaptation to spike-based communication
Balazs B Ujfalussy · Mate Lengyel
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Active Ranking using Pairwise Comparisons
Kevin G Jamieson · Rob Nowak
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier · Paul Nuyujukian · Chris Eliasmith · Terrence C Stewart · Shauki A Elasaad · Krishna V Shenoy · Kwabena A Boahen
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi · Yasuhiro Tsubo · Petr Lansky · Shigeru Shinomoto
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Michalis Titsias · Miguel Lazaro-Gredilla
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
On the accuracy of l1-filtering of signals with block-sparse structure
Anatoli Juditsky · Fatma Kilinc Karzan · Arkadi S Nemirovski · Boris T Polyak
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato · José Miguel Hernández-Lobato · Pierre Dupont
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Why The Brain Separates Face Recognition From Object Recognition
Joel Z Leibo · Jim Mutch · Tomaso A Poggio
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Learning Auto-regressive Models from Sequence and Non-sequence Data
T.-K. Huang · Jeff Schneider
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Matrix Completion for Image Classification
Ricardo S Cabral · Fernando D De la Torre · Joao P Costeira · Alexandre Bernardino
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A Kurtek · Anuj Srivastava · Wei Wu
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka · Taiji Suzuki · Kohei Hayashi · Hisashi Kashima
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Large-Scale Category Structure Aware Image Categorization
Bin Zhao · Fei Fei F Li · Eric P Xing
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Agnostic Selective Classification
Yair Wiener · Ran El-Yaniv
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger · Christian Wojek · Raquel Urtasun
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Probabilistic amplitude and frequency demodulation
Richard E Turner · Maneesh Sahani
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Transfer Learning by Borrowing Examples
Joseph J Lim · Russ R Salakhutdinov · Antonio Torralba
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto · Davide Anguita · Alessandro Ghio · Sandro Ridella
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction
Siwei Lyu
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli · Richard Maclin · Jude W Shavlik
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V Messias · Matthijs Spaan · Pedro U Lima
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Selecting Receptive Fields in Deep Networks
Adam Coates · Andrew Y Ng
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Policy Gradient Coagent Networks
Philip S Thomas
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate · Noah Goodman · Andreas Stuhlmueller · Jeffrey M Siskind
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Confidence Sets for Network Structure
David S Choi · Patrick J Wolfe · Edo M Airoldi
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms
Liefeng Bo · Xiaofeng Ren · Dieter Fox
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
XianXing Zhang · David B Dunson · Lawrence Carin
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi · Richard Naud · Wulfram Gerstner
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh · Erik Sj̦lund · Mattias H̦glund · Jens Lagergren
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Co-Training for Domain Adaptation
Minmin Chen · Kilian Q Weinberger · John Blitzer
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Energetically Optimal Action Potentials
Martin B Stemmler · Biswa Sengupta · Simon Laughlin · Jeremy Niven
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz · Christian Widmer · Georg Zeller · Andre Kahles · Soeren Sonnenburg · Gunnar Rätsch
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E Waters · Aswin C Sankaranarayanan · Richard Baraniuk
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Dynamical segmentation of single trials from population neural data
Biljana Petreska · Byron M Yu · John P Cunningham · Gopal Santhanam · Stephen I Ryu · Krishna V Shenoy · Maneesh Sahani
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
How biased are maximum entropy models?
Jakob H Macke · Iain Murray · Peter E Latham
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Shaping Level Sets with Submodular Functions
Francis Bach
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Group Anomaly Detection using Flexible Genre Models
Liang Xiong · Barnabas Poczos · Jeff Schneider
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel · Russ R Salakhutdinov · Ohad Shamir · Nati Srebro
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Monte Carlo Value Iteration with Macro-Actions
Zhan Wei Lim · David Hsu · Wee Sun Lee
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Ranking annotators for crowdsourced labeling tasks
Vikas C Raykar · Shipeng Yu
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
On Tracking The Partition Function
Guillaume Desjardins · Aaron Courville · Yoshua Bengio
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits
Matthias S Keil
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao · Hirotaka Hachiya · Gang Niu · Masashi Sugiyama
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Collective Graphical Models
Daniel R Sheldon · Thomas Dietterich
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad Shahed Sorower · Thomas Dietterich · Janardhan Rao Doppa · Walker Orr · Prasad Tadepalli · Xiaoli Fern
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Boosting with Maximum Adaptive Sampling
Charles Dubout · François Fleuret
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang · Charles Sutton
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
A Maximum Margin Multi-Instance Learning Framework for Image Categorization
Hua Wang · Heng Huang · Farhad Kamangar · Feiping Nie · Chris Ding
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Active dendrites: adaptation to spike-based communication
Balazs B Ujfalussy · Mate Lengyel
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Greedy Model Averaging
Dong Dai · Tong Zhang
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani · Aurelie C Lozano
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan · Satyen Kale
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Thinning Measurement Models and Questionnaire Design
Ricardo Silva
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Multiclass Boosting: Theory and Algorithms
Mohammad J Saberian · Nuno Vasconcelos
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Orthogonal Matching Pursuit with Replacement
Prateek Jain · Ambuj Tewari · Inderjit S Dhillon
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein · Simon Setzer
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi · Kee-Eung Kim
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
Taiji Suzuki
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S Dhillon · Pradeep K Ravikumar · Ambuj Tewari
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Speedy Q-Learning
Mohammad Gheshlaghi Azar · Remi Munos · Mohammad Ghavamzadeh · Hilbert J Kappen
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Gaussian process modulated renewal processes
Vinayak A Rao · Yee Whye Teh
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A Knowles · Tom Minka
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Metric Learning with Multiple Kernels
Jun Wang · Huyen T Do · Adam Woznica · Alexandros Kalousis
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff · Pavan Turaga · Rama Chellappa
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
A Model for Temporal Dependencies in Event Streams
Asela "Zilla" Gunawardana · Christopher Meek · Puyang Xu
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M Olmos · Luis Salamanca · Juan José J Murillo Fuentes · Fernando Perez-Cruz
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Generalised Coupled Tensor Factorisation
Kenan Y Yılmaz · A. Taylan Cemgil · Umut Simsekli
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T Pham · Tat-jun Chin · Jin Yu · David Suter
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan · Alfred Hero
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Additive Gaussian Processes
David K Duvenaud · Hannes Nickisch · Carl Rasmussen
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Learning Eigenvectors for Free
Wouter M Koolen · Wojciech Kotlowski · Manfred K Warmuth
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Active Learning with a Drifting Distribution
Liu Yang
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
PiCoDes: Learning a Compact Code for Novel-Category Recognition
Alessandro Bergamo · Lorenzo Torresani · Andrew Fitzgibbon
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Kernel Embeddings of Latent Tree Graphical Models
Le Song · Ankur P Parikh · Eric P Xing
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Algorithms for Hyper-Parameter Optimization
James S Bergstra · Rémi Bardenet · Yoshua Bengio · Balázs Kégl
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine · Zoran Popovic · Vladlen Koltun
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Spatial distance dependent Chinese Restaurant Process for image segmentation
Soumya Ghosh · Andrei B Ungureanu · Erik B Sudderth · David Blei
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Causal Discovery with Cyclic Additive Noise Models
Joris M Mooij · Dominik Janzing · Tom Heskes · Bernhard Schölkopf
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O Perry · Michael W Mahoney
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M Kakade · Adam Kalai · Varun Kanade · Ohad Shamir
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Submodular Multi-Label Learning
James Petterson · Tiberio Caetano
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar · Piyush Rai · Hal Daume III
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Optimistic Optimization of Deterministic Functions
Remi Munos
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum · Andrew G Barto
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Inferring spike-timing-dependent plasticity from spike train data
Ian H Stevenson · Konrad Koerding
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Similarity-based Learning via Data Driven Embeddings
Puru Kar · Prateek Jain
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
Shinichi Nakajima · Masashi Sugiyama · S. Derin Babacan
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S Khan · Joost van de Weijer · Andrew D Bagdanov · Maria Vanrell
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama · Aapo Hyvarinen
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu · Ning Chen · Eric P Xing
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D Zeiler · Graham W Taylor · Leonid Sigal · Iain Matthews · Rob Fergus
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim · Sebastian Nowozin · Pushmeet Kohli · Chang D. D Yoo
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Pylon Model for Semantic Segmentation
Victor Lempitsky · Andrea Vedaldi · Andrew Zisserman
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Analytical Results for the Error in Filtering of Gaussian Processes
Alex K Susemihl · Ron Meir · Manfred Opper
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre S Barreto · Doina Precup · Joelle Pineau
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration
Paul Wagner
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Bayesian Partitioning of Large-Scale Distance Data
David Adametz · Volker Roth
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Committing Bandits
Loc X Bui · Ramesh Johari · Shie Mannor
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon · Dean P Foster · Lyle Ungar
Poster
Mon Dec 12th 07:00 - 11:59 PM @ None
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Andrew M Saxe · Maneesh Bhand · Ritvik Mudur · Bipin Suresh · Andrew Y Ng
Session
Mon Dec 12th 07:00 - 11:59 PM @ Floor +1, Palacio de Congresos, Granada, Spain
Poster Session and Reception
Placeholder
Tue Dec 13th 08:00 AM - 05:30 PM @ Floor Zero
Registration Desk
Posner Lecture
Tue Dec 13th 09:30 - 10:20 AM @ None
Learning About Sensorimotor Data
Rich S Sutton
Session
Tue Dec 13th 09:30 - 10:40 AM @ None
Oral Session 1
Remi Munos
Oral
Tue Dec 13th 10:20 - 10:40 AM @ None
A Non-Parametric Approach to Dynamic Programming
Oliver B Kroemer · Jan R Peters
Session
Tue Dec 13th 10:40 - 11:10 AM @ None
Spotlight Session 2
Remi Munos
Spotlight
Tue Dec 13th 10:40 - 10:44 AM @ None
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
Spotlight
Tue Dec 13th 10:44 - 10:48 AM @ None
The Fixed Points of Off-Policy TD
J. Zico Kolter
Spotlight
Tue Dec 13th 10:48 - 10:52 AM @ None
Inductive reasoning about chimeric creatures
Charles Kemp
Spotlight
Tue Dec 13th 10:52 - 10:56 AM @ None
Evaluating computational models of preference learning
Alan Jern · Christopher G Lucas · Charles Kemp
Spotlight
Tue Dec 13th 10:56 - 11:00 AM @ None
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang · Jing Li · Jieping Ye · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman
Spotlight
Tue Dec 13th 11:00 - 11:04 AM @ None
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
Zuoguan Wang · Gerwin Schalk · Qiang Ji
Spotlight
Tue Dec 13th 11:04 - 11:08 AM @ None
Active learning of neural response functions with Gaussian processes
Mijung Park · Greg Horwitz · Jonathan W Pillow
Oral
Tue Dec 13th 11:10 - 11:30 AM @ None
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Guy Van den Broeck
Session
Tue Dec 13th 11:10 - 11:30 AM @ None
Oral Session 2
Michael Collins
Break
Tue Dec 13th 11:30 AM - 12:00 PM @ None
Coffee Break
Oral
Tue Dec 13th 12:00 - 12:20 PM @ None
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee Whye Teh · Charles Blundell · Lloyd T Elliott
Session
Tue Dec 13th 12:00 - 12:40 PM @ None
Oral Session 3
Amir Globerson
Oral
Tue Dec 13th 12:20 - 12:40 PM @ None
Priors over Recurrent Continuous Time Processes
Ardavan Saeedi · Alexandre Bouchard-Côté
Session
Tue Dec 13th 12:40 - 01:10 PM @ None
Spotlight Session 3
Amir Globerson
Spotlight
Tue Dec 13th 12:40 - 12:44 PM @ None
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P Reichert · Peggy Series · Amos J Storkey
Spotlight
Tue Dec 13th 12:44 - 12:48 PM @ None
Sequence learning with hidden units in spiking neural networks
Johanni Brea · Walter Senn · Jean-Pascal Pfister
Spotlight
Tue Dec 13th 12:48 - 12:52 PM @ None
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar Rahnama Rad · Liam Paninski
Spotlight
Tue Dec 13th 12:52 - 12:56 PM @ None
A blind sparse deconvolution method for neural spike identification
chaitu Ekanadham · Daniel Tranchina · Eero P Simoncelli
Spotlight
Tue Dec 13th 12:56 - 01:00 PM @ None
Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon · Carla P Gomes · Ashish Sabharwal · Bart Selman
Spotlight
Tue Dec 13th 01:00 - 01:04 PM @ None
The Kernel Beta Process
Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
Spotlight
Tue Dec 13th 01:04 - 01:08 PM @ None
Solving Decision Problems with Limited Information
Denis D Maua · Cassio P de Campos
Oral
Tue Dec 13th 01:10 - 01:30 PM @ None
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
David Mcallester · Joseph Keshet
Session
Tue Dec 13th 01:10 - 01:30 PM @ None
Oral Session 4
Shai Shalev-Shwartz
Session
Tue Dec 13th 01:30 - 02:00 PM @ None
Spotlight Session 4
Shai Shalev-Shwartz
Spotlight
Tue Dec 13th 01:30 - 01:34 PM @ None
Algorithms and hardness results for parallel large margin learning
Rocco A Servedio · Phil Long
Spotlight
Tue Dec 13th 01:34 - 01:38 PM @ None
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Francis Bach · Eric Moulines
Spotlight
Tue Dec 13th 01:38 - 01:42 PM @ None
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory · Jeff A Bilmes
Spotlight
Tue Dec 13th 01:42 - 01:46 PM @ None
Sparse Estimation with Structured Dictionaries
David P Wipf
Spotlight
Tue Dec 13th 01:46 - 01:50 PM @ None
Universal low-rank matrix recovery from Pauli measurements
Yi-Kai Liu
Spotlight
Tue Dec 13th 01:50 - 01:54 PM @ None
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale · Nicolò Cesa-Bianchi · Claudio Gentile · Giovanni Zappella
Spotlight
Tue Dec 13th 01:54 - 01:58 PM @ None
On U-processes and clustering performance
Stéphan Clémençon
Break
Tue Dec 13th 02:00 - 04:00 PM @ None
Break
Invited Talk
Tue Dec 13th 04:00 - 04:50 PM @ None
Sparsity: algorithms, approximations, and analysis
Anna Gilbert
Session
Tue Dec 13th 04:00 - 05:30 PM @ None
Oral Session 5
Pradeep K Ravikumar
Oral
Tue Dec 13th 04:50 - 05:10 PM @ None
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen James Xiang · Hao Xu · Peter J Ramadge
Oral
Tue Dec 13th 05:10 - 05:30 PM @ None
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh · Martin J Wainwright
Break
Tue Dec 13th 05:30 - 05:45 PM @ None
Coffee Break
Demonstration
Tue Dec 13th 05:45 - 11:59 PM @ None
Haptic Belt with Pedestrian Detection
Jean Feng · Marc Rasi · Andrew Y Ng · Quoc V. Le · Morgan Quigley · Justin K Chen · Tiffany Low · Will Y Zou
Demonstration
Tue Dec 13th 05:45 - 11:59 PM @ None
SENNA Natural Language Processing Demo
Ronan Collobert
Demonstration
Tue Dec 13th 05:45 - 11:59 PM @ None
Reproducing biologically realistic firing patterns on a highly-accelerated neuromorphic hardware system
Marc-Olivier Schwartz
Demonstration
Tue Dec 13th 05:45 - 11:59 PM @ None
A smartphone 3D functional brain scanner
Carsten Stahlhut · Arkadiusz Stopczynski · Jakob Eg Larsen · Michael K Petersen · Lars K Hansen
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
On the Universality of Online Mirror Descent
Nati Srebro · Karthik Sridharan · Ambuj Tewari
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Demixed Principal Component Analysis
Wieland Brendel · Ranulfo Romo · Christian K Machens
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Solving Decision Problems with Limited Information
Denis D Maua · Cassio P de Campos
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara · Takashi Washio
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Penalty Decomposition Methods for Rank Minimization
Yong Zhang · Zhaosong Lu
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-Son P Le · Ziv Bar-Joseph
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sequence learning with hidden units in spiking neural networks
Johanni Brea · Walter Senn · Jean-Pascal Pfister
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Maximum Margin Multi-Label Structured Prediction
Christoph H Lampert
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan · Aram Galstyan
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Spectral Methods for Learning Multivariate Latent Tree Structure
Anima Anandkumar · Kamalika Chaudhuri · Daniel J Hsu · Sham M Kakade · Le Song · Tong Zhang
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari · Pradeep K Ravikumar · Inderjit S Dhillon
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
The Fixed Points of Off-Policy TD
J. Zico Kolter
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding · Grace Wahba · Xiaojin Zhu
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Active learning of neural response functions with Gaussian processes
Mijung Park · Greg Horwitz · Jonathan W Pillow
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
Zuoguan Wang · Gerwin Schalk · Qiang Ji
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A Simon · Nathaniel D Daw
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andy Cotter · Ohad Shamir · Nati Srebro · Karthik Sridharan
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft · Gilles Blanchard
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Variance Reduction in Monte-Carlo Tree Search
Joel Veness · Marc Lanctot · Michael Bowling
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory · Jeff A Bilmes
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao · Song-Chun Zhu
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang · Piyush Rai · Hal Daume III
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sparse Recovery with Brownian Sensing
Alexandra Carpentier · Odalric-Ambrym Maillard · Remi Munos
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Autonomous Learning of Action Models for Planning
Neville Mehta · Prasad Tadepalli · Alan Fern
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Statistical Tests for Optimization Efficiency
Levi Boyles · Anoop Korattikara · Deva Ramanan · Max Welling
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen · Cédric Févotte
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
History distribution matching method for predicting effectiveness of HIV combination therapies
Jasmina Bogojeska
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis · Petros Drineas · Malik Magdon-Ismail
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Composite Multiclass Losses
Elodie Vernet · Robert C Williamson · Mark D Reid
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle · Lihong Li
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka · Shin'ichi Satoh
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes · Laurent Jacob · Martin J Wainwright
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
The Kernel Beta Process
Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sparse Estimation with Structured Dictionaries
David P Wipf
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Evaluating computational models of preference learning
Alan Jern · Christopher G Lucas · Charles Kemp
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Prediction strategies without loss
Michael Kapralov · Rina Panigrahy
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale · Nicolò Cesa-Bianchi · Claudio Gentile · Giovanni Zappella
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A Non-Parametric Approach to Dynamic Programming
Oliver B Kroemer · Jan R Peters
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Video Annotation and Tracking with Active Learning
Carl Vondrick · Deva Ramanan
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Robust Lasso with missing and grossly corrupted observations
Nam H Nguyen · Nasser M Nasrabadi · Trac D Tran
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue · Carlos Guestrin
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A Denoising View of Matrix Completion
Weiran Wang · Miguel A Carreira-Perpinan · Zhengdong Lu
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu · Russell Greiner · Hsiu-Chin Lin · Vickie Baracos
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang · Jing Li · Jieping Ye · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar Rahnama Rad · Liam Paninski
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Guy Van den Broeck
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Hashing Algorithms for Large-Scale Learning
Ping Li · Anshumali Shrivastava · Joshua L Moore · Arnd C König
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning Anchor Planes for Classification
Ziming Zhang · Lubor Ladicky · Philip Torr · Amir Saffari
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Priors over Recurrent Continuous Time Processes
Ardavan Saeedi · Alexandre Bouchard-Côté
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Francis Bach · Eric Moulines
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen James Xiang · Hao Xu · Peter J Ramadge
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Algorithms and hardness results for parallel large margin learning
Rocco A Servedio · Phil Long
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P Reichert · Peggy Series · Amos J Storkey
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin · Chiyuan Zhang · Xiaofei He
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi · Masashi Sugiyama
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh · Martin J Wainwright
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Transfer from Multiple MDPs
Alessandro Lazaric · Marcello Restelli
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Multi-Bandit Best Arm Identification
Victor Gabillon · Mohammad Ghavamzadeh · Alessandro Lazaric · Sebastien Bubeck
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon · Carla P Gomes · Ashish Sabharwal · Bart Selman
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
David Mcallester · Joseph Keshet
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S Koppula · Abhishek Anand · Thorsten Joachims · Ashutosh Saxena
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave · Guillaume R Obozinski · Francis Bach
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
An Exact Algorithm for F-Measure Maximization
Krzysztof J Dembczynski · Willem Waegeman · Weiwei Cheng · Eyke Hullermeier
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z Khan · Pascal Poupart · John Mark M Agosta
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
Alan Qi · Feng Yan
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Variational Gaussian Process Dynamical Systems
Andreas C Damianou · Michalis Titsias · Neil D Lawrence
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin · Peter Auer · Francois Laviolette · John S Shawe-Taylor · Ronald Ortner
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Selecting the State-Representation in Reinforcement Learning
Odalric-Ambrym Maillard · Remi Munos · Daniil Ryabko
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
Joni Pajarinen · Jaakko Peltonen
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati · Boris S Gutkin
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A Convergence Analysis of Log-Linear Training
Simon Wiesler · Hermann Ney
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier · Remi Munos
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Inductive reasoning about chimeric creatures
Charles Kemp
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Universal low-rank matrix recovery from Pauli measurements
Yi-Kai Liu
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Xinggang Wang · Xiang Bai · Xingwei Yang · Wenyu Liu · Longin Jan J Latecki
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun · Rita Chattopadhyay · Sethuraman Panchanathan · Jieping Ye
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Contextual Gaussian Process Bandit Optimization
Andreas Krause · Cheng Soon Ong
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada · Taiji Suzuki · Takafumi Kanamori · Hirotaka Hachiya · Masashi Sugiyama
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Inference in continuous time changepoint point models
Florian Stimberg · Manfred Opper · Guido Sanguinetti · Andreas Ruttor
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Adaptive Hedge
Tim van Erven · Peter Grünwald · Wouter M Koolen · Steven D Rooij
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J Walsh · Daniel K Hewlett · Clayton T Morrison
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee Whye Teh · Charles Blundell · Lloyd T Elliott
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Convergent Fitted Value Iteration with Linear Function Approximation
Dan J Lizotte
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning a Distance Metric from a Network
Blake Shaw · Bert Huang · Tony Jebara
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael C Mozer · Benjamin Link · Harold Pashler
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Bharath Sriperumbudur · Kenji Fukumizu · Gert Lanckriet
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
On U-processes and clustering performance
Stéphan Clémençon
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao · Juergen Gall · Luc V Gool · Raquel Urtasun
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-Jui Hsieh · Matyas A Sustik · Inderjit S Dhillon · Pradeep K Ravikumar
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Crowdclustering
Ryan G Gomes · Peter Welinder · Andreas Krause · Pietro Perona
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G Gibson · Duane Szafron
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning to Search Efficiently in High Dimensions
Zhen Li · Huazhong Ning · Liangliang Cao · Tong Zhang · Yihong Gong · Thomas S Huang
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris · Scott Niekum · Philip S Thomas
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Peter Gehler · Carsten Rother · Martin Kiefel · Lumin Zhang · Bernhard Schölkopf
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
A blind sparse deconvolution method for neural spike identification
chaitu Ekanadham · Daniel Tranchina · Eero P Simoncelli
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard · Gyemin Lee · Clay Scott
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Predicting response time and error rates in visual search
Bo Chen · Vidhya Navalpakkam · Pietro Perona
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Learning unbelievable marginal probabilities
Xaq S Pitkow · Yashar Ahmadian · Ken D Miller
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Sparse Bayesian Multi-Task Learning
Cedric Archambeau · Shengbo Guo · Onno Zoeter
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
The Doubly Correlated Nonparametric Topic Model
Dae Il Kim · Erik B Sudderth
Poster
Tue Dec 13th 05:45 - 11:59 PM @ None
Structure Learning for Optimization
Shulin Yang · Ali Rahimi
Session
Tue Dec 13th 05:45 - 11:59 PM @ Andulucia II
Demonstrations
Session
Tue Dec 13th 05:45 - 11:59 PM @ Exhibition Hall
Poster Session
Placeholder
Wed Dec 14th 08:00 AM - 05:30 PM @ Floor Zero
Registration Desk
Posner Lecture
Wed Dec 14th 09:30 - 10:20 AM @ None
From kernels to causal inference
Bernhard Schölkopf
Session
Wed Dec 14th 09:30 - 10:40 AM @ None
Oral Session 6
Raquel Urtasun
Oral
Wed Dec 14th 10:20 - 10:40 AM @ None
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar · Vincent Tan · Alan S Willsky
Session
Wed Dec 14th 10:40 - 11:10 AM @ None
Spotlight Session 5
Raquel Urtasun
Spotlight
Wed Dec 14th 10:40 - 10:44 AM @ None
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar · Sivaraman Balakrishnan · Alessandro Rinaldo · Aarti Singh
Spotlight
Wed Dec 14th 10:44 - 10:48 AM @ None
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali · Christopher C Johnson · Pradeep K Ravikumar
Spotlight
Wed Dec 14th 10:48 - 10:52 AM @ None
Learning to Learn with Compound HD Models
Russ R Salakhutdinov · Josh Tenenbaum · Antonio Torralba
Spotlight
Wed Dec 14th 10:52 - 10:56 AM @ None
Probabilistic Joint Image Segmentation and Labeling
Adrian Ion · Joao Carreira · Cristian Sminchisescu
Spotlight
Wed Dec 14th 10:56 - 11:00 AM @ None
Object Detection with Grammar Models
Ross B Girshick · Pedro Felzenszwalb · David Mcallester
Spotlight
Wed Dec 14th 11:00 - 11:04 AM @ None
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
Spotlight
Wed Dec 14th 11:04 - 11:08 AM @ None
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez · Girish Kulkarni · Tamara L Berg
Oral
Wed Dec 14th 11:10 - 11:30 AM @ None
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl · Vladlen Koltun
Session
Wed Dec 14th 11:10 - 11:30 AM @ None
Oral Session 7
Katherine A Heller
Break
Wed Dec 14th 11:30 AM - 12:00 PM @ None
Coffee Break
Oral
Wed Dec 14th 12:00 - 12:20 PM @ None
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-Bianchi · Ohad Shamir
Session
Wed Dec 14th 12:00 - 12:40 PM @ None
Oral Session 8
Phil Long
Oral
Wed Dec 14th 12:20 - 12:40 PM @ None
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt · Nicolas Le Roux · Francis Bach
Session
Wed Dec 14th 12:40 - 01:10 PM @ None
Spotlight Session 6
Phil Long
Spotlight
Wed Dec 14th 12:40 - 12:44 PM @ None
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi · David Pal · Csaba Szepesvari
Spotlight
Wed Dec 14th 12:44 - 12:48 PM @ None
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor · Ohad Shamir
Spotlight
Wed Dec 14th 12:48 - 12:52 PM @ None
Lower Bounds for Passive and Active Learning
Maxim Raginsky · Sasha Rakhlin
Spotlight
Wed Dec 14th 12:52 - 12:56 PM @ None
Active Classification based on Value of Classifier
Tianshi Gao · Daphne Koller
Spotlight
Wed Dec 14th 12:56 - 01:00 PM @ None
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi · Alan Fern · Xiaoli Fern
Spotlight
Wed Dec 14th 01:00 - 01:04 PM @ None
Projection onto A Nonnegative Max-Heap
Jun Liu · Liang Sun · Jieping Ye
Spotlight
Wed Dec 14th 01:04 - 01:08 PM @ None
Phase transition in the family of p-resistances
Morteza Alamgir · Ulrike Von Luxburg
Oral
Wed Dec 14th 01:10 - 01:30 PM @ None
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Session
Wed Dec 14th 01:10 - 01:30 PM @ None
Oral Session 9
Cedric Archambeau
Session
Wed Dec 14th 01:30 - 02:00 PM @ None
Spotlight Session 7
Cedric Archambeau
Spotlight
Wed Dec 14th 01:30 - 01:34 PM @ None
Complexity of Inference in Latent Dirichlet Allocation
David Sontag · Dan M Roy
Spotlight
Wed Dec 14th 01:34 - 01:38 PM @ None
Practical Variational Inference for Neural Networks
Alex Graves
Spotlight
Wed Dec 14th 01:38 - 01:42 PM @ None
A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions
Qibin Zhao · Cesar F Caiafa · Danilo P Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI
Spotlight
Wed Dec 14th 01:42 - 01:46 PM @ None
Sparse Filtering
Jiquan Ngiam · Pang Wei W Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng
Spotlight
Wed Dec 14th 01:46 - 01:50 PM @ None
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C Perrault-Joncas · Marina Meila
Spotlight
Wed Dec 14th 01:50 - 01:54 PM @ None
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan · Min Xu · Akshay Krishnamurthy · Aarti Singh
Break
Wed Dec 14th 02:00 - 04:00 PM @ None
Break
Invited Talk
Wed Dec 14th 04:00 - 04:50 PM @ None
Natural Algorithms
Bernard Chazelle
Session
Wed Dec 14th 04:00 - 05:30 PM @ None
Oral Session 10
Joelle Pineau
Oral
Wed Dec 14th 04:50 - 05:10 PM @ None
Iterative Learning for Reliable Crowdsourcing Systems
David R Karger · Sewoong Oh · Devavrat Shah
Oral
Wed Dec 14th 05:10 - 05:30 PM @ None
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D Abernethy · Rafael M Frongillo
Break
Wed Dec 14th 05:30 - 05:45 PM @ None
Coffee Break
Demonstration
Wed Dec 14th 05:45 - 11:59 PM @ None
Contour-Based Large Scale Image Retrieval Platform
Rong Zhou · Liqing Zhang
Demonstration
Wed Dec 14th 05:45 - 11:59 PM @ None
AISoy1, a Robot that Perceives, Feels and Makes Decisions
Diego R García Sánchez · David Rios Insua
Demonstration
Wed Dec 14th 05:45 - 11:59 PM @ None
Detecting Quakes with Clouds and Phones: the Community Seismic Network
Matthew Faulkner
Demonstration
Wed Dec 14th 05:45 - 11:59 PM @ None
Real-time social media analysis with TWIMPACT
Mikio L Braun · Matthias L Jugel · Klaus-Robert Müller
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt · Nicolas Le Roux · Francis Bach
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Bayesian Spike-Triggered Covariance Analysis
Il Memming Park · Jonathan W Pillow
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Zhouchen Lin · Risheng Liu · Zhixun Su
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le · Alexandre Karpenko · Jiquan Ngiam · Andrew Y Ng
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
A rational model of causal inference with continuous causes
Michael Pacer · Thomas Griffiths
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Predicting Dynamic Difficulty
Olana Missura · Thomas Gaertner
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan · Tomer Koren · Nati Srebro
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang · Laurent El Ghaoui
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts · Ingo Steinwart
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K Fletcher · Sundeep Rangan · Lav R Varshney · Aniruddha Bhargava
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Scalable Training of Mixture Models via Coresets
Dan Feldman · Matthew Faulkner · Andreas Krause
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Select and Sample:— A Model of Efficient Neural Inference and Learning
Jacquelyn A Shelton · Jörg Bornschein · Abdul Saboor Sheikh · Pietro Berkes · Jörg Lücke
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Projection onto A Nonnegative Max-Heap
Jun Liu · Liang Sun · Jieping Ye
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Randomized Algorithms for Comparison-based Search
Dominique Tschopp · Suhas Diggavi · Payam Delgosha · Soheil Mohajer
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Lower Bounds for Passive and Active Learning
Maxim Raginsky · Sasha Rakhlin
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
The Manifold Tangent Classifier
Salah Rifai · Yann N Dauphin · Pascal Vincent · Yoshua Bengio · Xavier Muller
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning to Learn with Compound HD Models
Russ R Salakhutdinov · Josh Tenenbaum · Antonio Torralba
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T Abbott · Katherine A Heller · Zoubin Ghahramani · Thomas Griffiths
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
Cristina Savin · Peter Dayan · Mate Lengyel
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Practical Variational Inference for Neural Networks
Alex Graves
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning person-object interactions for action recognition in still images
Vincent Delaitre · Josef Sivic · Ivan Laptev
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Fast and Accurate k-means For Large Datasets
Michael Shindler · Alex Wong · Adam W Meyerson
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
t-divergence Based Approximate Inference
Nan Ding · S.V.N. Vishwanathan · Alan Qi
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Variance Penalizing AdaBoost
Pannagadatta K Shivaswamy · Tony Jebara
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Gaussian Process Training with Input Noise
Andrew McHutchon · Carl Rasmussen
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Probabilistic Joint Image Segmentation and Labeling
Adrian Ion · Joao Carreira · Cristian Sminchisescu
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning a Tree of Metrics with Disjoint Visual Features
Sung Ju Hwang · Kristen Grauman · Fei Sha
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions
Qibin Zhao · Cesar F Caiafa · Danilo P Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan · Ran El-Yaniv
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan · Xiaojin Zhu · Bilge Mutlu
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher · Eric H Huang · Jeffrey Pennin · Andrew Y Ng · Christopher D Manning
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Sparse Filtering
Jiquan Ngiam · Pang Wei W Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A Gkioulekas · Todd Zickler
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Distributed Delayed Stochastic Optimization
Alekh Agarwal · John Duchi
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Convergent Bounds on the Euclidean Distance
Yoonho Hwang · Hee-Kap Ahn
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Variational Learning for Recurrent Spiking Networks
Danilo J Rezende · Daan Wierstra · Wulfram Gerstner
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Data Skeletonization via Reeb Graphs
Xiaoyin Ge · Issam I Safa · Mikhail Belkin · Yusu Wang
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Stochastic convex optimization with bandit feedback
Alekh Agarwal · Dean P Foster · Daniel J Hsu · Sham M Kakade · Sasha Rakhlin
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Differentially Private M-Estimators
Jing Lei
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li · Ashutosh Saxena · Tsuhan Chen
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-Bianchi · Ohad Shamir
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Fast approximate submodular minimization
Stefanie Jegelka · Hui Lin · Jeff A Bilmes
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C Perrault-Joncas · Marina Meila
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez · Girish Kulkarni · Tamara L Berg
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen · Ahmad Salman
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
An ideal observer model for identifying the reference frame of objects
Joseph L Austerweil · Abe L Friesen · Thomas Griffiths
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Multiple Instance Filtering
Kamil A Wnuk · Stefano Soatto
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti · Jon Kleinberg · David Liben-Nowell
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Efficient coding with a population of Linear-Nonlinear neurons
yan karklin · Eero P Simoncelli
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
The Fast Convergence of Boosting
Matus J Telgarsky
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe · Viviana Petrescu · Vittorio Ferrari
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar · Rene Vidal
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal · Pierre-Antoine Absil
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Understanding the Intrinsic Memorability of Images
Phillip Isola · Devi Parikh · Antonio Torralba · Aude Oliva
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Approximating Semidefinite Programs in Sublinear Time
Dan Garber · Elad Hazan
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Structured Learning for Cell Tracking
Xinghua Lou · Fred A Hamprecht
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Improving Topic Coherence with Regularized Topic Models
David Newman · Edwin V Bonilla · Wray Buntine
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Structured sparse coding via lateral inhibition
arthur d szlam · Karol Gregor · Yann LeCun
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan · Chi Wah Wong · Jose Costa Pereira · Tom Liu · Nuno Vasconcelos · Lawrence Saul
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity
Nir Ailon
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F Montufar · Johannes Rauh · Nihat Ay
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Benjamin Recht · Christopher Re · Stephen Wright · Feng Niu
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Multi-armed bandits on implicit metric spaces
Alex Slivkins Slivkins
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou · Jianhui Chen · Jieping Ye
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
A concave regularization technique for sparse mixture models
Martin O Larsson · Johan Ugander
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan · Robert A Jacobs
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar · Vincent Tan · Alan S Willsky
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Efficient Methods for Overlapping Group Lasso
Lei Yuan · Jun Liu · Jieping Ye
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Multiple Instance Learning on Structured Data
Dan Zhang · Yan Liu · Luo Si · Jian Zhang · Richard D Lawrence
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Phase transition in the family of p-resistances
Morteza Alamgir · Ulrike Von Luxburg
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Object Detection with Grammar Models
Ross B Girshick · Pedro Felzenszwalb · David Mcallester
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D Abernethy · Rafael M Frongillo
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Iterative Learning for Reliable Crowdsourcing Systems
David R Karger · Sewoong Oh · Devavrat Shah
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Iasonas Kokkinos
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar · Sivaraman Balakrishnan · Alessandro Rinaldo · Aarti Singh
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Bayesian Bias Mitigation for Crowdsourcing
Fabian L Wauthier · Michael I Jordan
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor · Ohad Shamir
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan · Min Xu · Akshay Krishnamurthy · Aarti Singh
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning to Agglomerate Superpixel Hierarchies
Viren Jain · Srini C Turaga · K Briggman · Moritz N Helmstaedter · Winfried Denk · H. Sebastian Seung
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau · Yoshua Bengio
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Kernel Bayes' Rule
Kenji Fukumizu · Le Song · Arthur Gretton
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Continuous-Time Regression Models for Longitudinal Networks
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia · Trevor Darrell
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning sparse inverse covariance matrices in the presence of confounders
Oliver Stegle · Christoph Lippert · Joris M Mooij · Neil D Lawrence · Karsten Borgwardt
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Learning large-margin halfspaces with more malicious noise
Phil Long · Rocco A Servedio
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Query-Aware MCMC
Michael L Wick · Andrew McCallum
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Divide-and-Conquer Matrix Factorization
Lester W Mackey · Ameet S Talwalkar · Michael I Jordan
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Hierarchically Supervised Latent Dirichlet Allocation
Adler J Perotte · Frank Wood · Noemie Elhadad · Nicholas Bartlett
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
On the Analysis of Multi-Channel Neural Spike Data
Bo Chen · David E Carlson · Lawrence Carin
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
A Machine Learning Approach to Predict Chemical Reactions
Matthew A Kayala · Pierre Baldi
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Empirical models of spiking in neural populations
Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng · Sanjeev Satheesh · Alexander C Berg · Fei Fei F Li
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Complexity of Inference in Latent Dirichlet Allocation
David Sontag · Dan M Roy
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl · Vladlen Koltun
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Generalized Beta Mixtures of Gaussians
Artin Armagan · David B Dunson · Merlise Clyde
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali · Christopher C Johnson · Pradeep K Ravikumar
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Sparse recovery by thresholded non-negative least squares
Martin Slawski · Matthias Hein
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi · Alan Fern · Xiaoli Fern
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Active Classification based on Value of Classifier
Tianshi Gao · Daphne Koller
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi · David Pal · Csaba Szepesvari
Poster
Wed Dec 14th 05:45 - 11:59 PM @ None
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Session
Wed Dec 14th 05:45 - 11:59 PM @ Andulucia II
Demonstrations
Session
Wed Dec 14th 05:45 - 11:59 PM @ Exhibition Hall
Poster Session
Placeholder
Thu Dec 15th 08:00 AM - 12:00 PM @ Floor Zero
Registration Desk
Invited Talk
Thu Dec 15th 09:30 - 10:20 AM @ None
The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer and Search in the Brain
Eörs Szathmáry · Chrisantha Fernando
Session
Thu Dec 15th 09:30 - 10:40 AM @ None
Oral Session 11
Mate Lengyel
Oral
Thu Dec 15th 10:20 - 10:40 AM @ None
Continuous-Time Regression Models for Longitudinal Networks
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth
Oral
Thu Dec 15th 10:40 - 11:00 AM @ None
Scalable Training of Mixture Models via Coresets
Dan Feldman · Matthew Faulkner · Andreas Krause
Session
Thu Dec 15th 10:40 - 11:20 AM @ None
Oral Session 12
Sasha Rakhlin
Oral
Thu Dec 15th 11:00 - 11:20 AM @ None
Fast and Accurate k-means For Large Datasets
Michael Shindler · Alex Wong · Adam W Meyerson
Break
Thu Dec 15th 11:20 AM - 12:00 PM @ None
Coffee Break
Invited Talk
Thu Dec 15th 12:00 - 12:50 PM @ None
Diversity in an Olfactory Network
Gilles Laurent
Session
Thu Dec 15th 12:00 - 01:10 PM @ None
Oral Session 13
Jonathan W Pillow
Oral
Thu Dec 15th 12:50 - 01:10 PM @ None
Empirical models of spiking in neural populations
Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
Oral
Thu Dec 15th 01:10 - 01:30 PM @ None
The Manifold Tangent Classifier
Salah Rifai · Yann N Dauphin · Pascal Vincent · Yoshua Bengio · Xavier Muller
Session
Thu Dec 15th 01:10 - 01:50 PM @ None
Oral Session 14
Ronan Collobert
Oral
Thu Dec 15th 01:30 - 01:50 PM @ None
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti · Jon Kleinberg · David Liben-Nowell
Placeholder
Thu Dec 15th 03:00 - 03:00 PM @ Congress Center
3:00 Bus to Sierra Nevada
Placeholder
Thu Dec 15th 04:30 - 09:30 PM @ Melia Sol y Nieve
Registration Desk
Placeholder
Thu Dec 15th 05:00 - 05:00 PM @ None
5:00 Bus to the Alhambra
Placeholder
Thu Dec 15th 05:30 - 05:30 PM @ Congress Center
5:30 Bus to Alhambra
Placeholder
Thu Dec 15th 08:15 - 08:15 PM @ Congress Center
8:15 Bus to Sierra Nevada
Placeholder
Fri Dec 16th 07:00 - 10:30 AM @ Melia Sol y Nieve
Registration Desk
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Guejar
Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity
Greg Shakhnarovich · Dhruv Batra · Brian Kulis · Kilian Q Weinberger
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Monachil
Cosmology meets Machine Learning
Michael Hirsch · Sarah Bridle · Bernhard Schölkopf · Phil Marshall · Stefan Harmeling · Mark Girolami
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Ski
New Frontiers in Model Order Selection
Yevgeny Seldin · Koby Crammer · Nicolò Cesa-Bianchi · Francois Laviolette · John S Shawe-Taylor
Workshop
Fri Dec 16th through Sat the 17th @ Montebajo: Theater
Big Learning: Algorithms, Systems, and Tools for Learning at Scale
Joseph E Gonzalez · Sameer Singh · Graham W Taylor · James S Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alex J Smola · Michael I Jordan · Sugato Basu
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Slalom
From statistical genetics to predictive models in personalized medicine
Karsten Borgwardt · Oliver Stegle · Shipeng Yu · Glenn M Fung · Faisal Farooq · Balaji R Krishnapuram
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Dauro
Optimization for Machine Learning
Suvrit Sra · Stephen Wright · Sebastian Nowozin
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Montebajo: Basketball Court
Computational Trade-offs in Statistical Learning
Alekh Agarwal · Sasha Rakhlin
Workshop
Fri Dec 16th through Sat the 17th @ Melia Sol y Nieve: Aqua
Machine Learning and Interpretation in Neuroimaging (MLINI-2011)
Melissa K Carroll · Guillermo Cecchi · Kai-min K Chang · Moritz Grosse-Wentrup · James Haxby · Georg Langs · Anna Korhonen · Bjoern Menze · Brian Murphy · Janaina Mourao-Miranda · Vittorio Murino · Francisco Pereira · Irina Rish · Mert Sabuncu · Irina Simanova · Bertrand Thirion
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Dilar
Relations between machine learning problems – an approach to unify the field
Robert C Williamson · John Langford · Ulrike Von Luxburg · Mark D Reid · Jennifer Wortman Vaughan
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Montebajo: Room 1
Sparse Representation and Low-rank Approximation
Ameet S Talwalkar · Lester W Mackey · Mehryar Mohri · Michael W Mahoney · Francis Bach · Mike E davies · Remi Gribonval · Guillaume R Obozinski
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Genil
Copulas in Machine Learning
Gal Elidan · Zoubin Ghahramani · John Lafferty
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Hotel Bar
Bayesian optimization, experimental design and bandits: Theory and applications
Nando de Freitas · Roman Garnett · Frank R Hutter · Michael A Osborne
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Montebajo: Library
Integrating Language and Vision
Raymond J Mooney · Trevor Darrell · Kate Saenko
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Snow
Decision Making with Multiple Imperfect Decision Makers
Tatiana V Guy · Miroslav Karny · David H Wolpert · Alessandro VILLA · David Rios Insua
Workshop
Fri Dec 16th 07:30 AM - 08:00 PM @ Telecabina: Movie Theater
Deep Learning and Unsupervised Feature Learning
Yoshua Bengio · Adam Coates · Yann LeCun · Nicolas Le Roux · Andrew Y Ng
Break
Fri Dec 16th 08:45 - 09:30 AM @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Break
Fri Dec 16th 10:30 AM - 04:00 PM @ None
Ski or Siesta
Placeholder
Fri Dec 16th 03:30 - 08:00 PM @ None
Registration Desk
Break
Fri Dec 16th 05:45 - 06:30 PM @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Placeholder
Sat Dec 17th 07:00 - 10:30 AM @ Melia Sol y Nieve
Registration Desk
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Telecabina: Movie Theater
2nd Workshop on Computational Social Science and the Wisdom of Crowds
Winter Mason · Jennifer Wortman Vaughan · Hanna Wallach
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Snow
Machine Learning meets Computational Photography
Michael Hirsch · Stefan Harmeling · Rob Fergus · Peyman Milanfar
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Slalom
Discrete Optimization in Machine Learning (DISCML): Uncertainty, Generalization and Feedback
Andreas Krause · Pradeep K Ravikumar · Stefanie S Jegelka · Jeff A Bilmes
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Monachil
Domain Adaptation Workshop: Theory and Application
John Blitzer · Corinna Cortes · Afshin Rostamizadeh
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Montebajo: Room 1
Choice Models and Preference Learning
Jean-Marc Andreoli · Cedric Archambeau · Guillaume Bouchard · Shengbo Guo · Kristian Kersting · Scott P Sanner · Martin Szummer · Paolo Viappiani · Onno Zoeter
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada:Dauro
Bayesian Nonparametric Methods: Hope or Hype?
Emily Fox · Ryan P Adams
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Guejar
Machine Learning for Sustainability
Thomas Dietterich · J. Zico Kolter · Matthew A Brown
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Dilar
The 4th International Workshop on Music and Machine Learning: Learning from Musical Structure
Rafael Ramirez · Darrell Conklin · Douglas Eck · Ryan Rifkin
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Hotel Bar
Philosophy and Machine Learning
Marcello Pelillo · Joachim M Buhmann · Tiberio Caetano · Bernhard Schölkopf · Larry Wasserman
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sierra Nevada: Genil
Machine Learning in Computational Biology
Jean-Philippe Vert · Gunnar Rätsch · Yanjun Qi · Tomer Hertz · Anna Goldenberg · Christina S Leslie
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Montebajo: Library
Challenges in Learning Hierarchical Models: Transfer Learning and Optimization
Quoc V. Le · Marc'Aurelio Ranzato · Russ R Salakhutdinov · Josh Tenenbaum · Andrew Y Ng
Workshop
Sat Dec 17th 07:30 AM - 08:00 PM @ Melia Sol y Nieve: Ski
Learning Semantics
Antoine Bordes · Jason E Weston · Ronan Collobert · Leon Bottou
Break
Sat Dec 17th 08:45 - 09:30 AM @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Break
Sat Dec 17th 10:30 AM - 04:00 PM @ None
Ski or Siesta
Placeholder
Sat Dec 17th 03:30 - 08:00 PM @ None
Registration Desk
Break
Sat Dec 17th 05:45 - 06:30 PM @ Melia Sol y Nieve: Foyer (Floor -1); Sierra Nevada: Main Hall (Floor 0); Telecabina: La Bodega Restaurant; Montebajo: The Cafeteria (Floor -2) and Room I (Floor -3)
Coffee Break
Placeholder
Sat Dec 17th 09:00 - 11:00 PM @ Sol y Nieve: Bar
Tapas Reception