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Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Active Learning with a Drifting Distribution
Liu Yang
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Policy Gradient Coagent Networks
Philip Thomas
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh · Erik Sj̦lund · Mattias H̦glund · Jens Lagergren
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Algorithms for Hyper-Parameter Optimization
James Bergstra · Rémi Bardenet · Yoshua Bengio · Balázs Kégl
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Active Ranking using Pairwise Comparisons
Kevin G Jamieson · Rob Nowak
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli · Richard Maclin · Jude W Shavlik
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Agnostic Selective Classification
Yair Wiener · Ran El-Yaniv
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M Olmos · Luis Salamanca · Juan José Murillo-Fuentes · Fernando Perez-Cruz
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Analytical Results for the Error in Filtering of Gaussian Processes
Alex K Susemihl · Ron Meir · Manfred Opper
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein · Simon Setzer
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar · Piyush Rai · Hal Daumé III
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Collective Graphical Models
Daniel Sheldon · Thomas Dietterich
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Gaussian process modulated renewal processes
Vinayak Rao · Yee Whye Teh
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Greedy Model Averaging
Dong Dai · Tong Zhang
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Group Anomaly Detection using Flexible Genre Models
Liang Xiong · Barnabas Poczos · Jeff Schneider
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
XianXing Zhang · David B Dunson · Lawrence Carin
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu · Ning Chen · Eric Xing
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Kernel Embeddings of Latent Tree Graphical Models
Le Song · Ankur P Parikh · Eric Xing
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi · Kee-Eung Kim
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Metric Learning with Multiple Kernels
Jun Wang · Huyen T Do · Adam Woznica · Alexandros Kalousis
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon · Dean P Foster · Lyle Ungar
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine · Zoran Popovic · Vladlen Koltun
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A Knowles · Tom Minka
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration
Paul Wagner
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Orthogonal Matching Pursuit with Replacement
Prateek Jain · Ambuj Tewari · Inderjit S Dhillon
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Optimistic Optimization of Deterministic Functions
Remi Munos
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Pylon Model for Semantic Segmentation
Victor Lempitsky · Andrea Vedaldi · Andrew Zisserman
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre S Barreto · Doina Precup · Joelle Pineau
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar · Prateek Jain
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A Kurtek · Anuj Srivastava · Wei Wu
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Spatial distance dependent Chinese Restaurant Process for image segmentation
Soumya Ghosh · Andrei B Ungureanu · Erik Sudderth · David Blei
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka · Taiji Suzuki · Kohei Hayashi · Hisashi Kashima
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction
Siwei Lyu
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
Taiji Suzuki
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Why The Brain Separates Face Recognition From Object Recognition
Joel Leibo · Jim Mutch · Tomaso Poggio
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama · Aapo Hyvarinen
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Maximum Margin Multi-Instance Learning Framework for Image Categorization
Hua Wang · Heng Huang · Farhad Kamangar · Feiping Nie · Chris Ding
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
A Model for Temporal Dependencies in Event Streams
Asela Gunawardana · Christopher Meek · Puyang Xu
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Speedy Q-Learning
Mohammad Gheshlaghi Azar · Remi Munos · Mohammad Ghavamzadeh · Hilbert J Kappen
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Active dendrites: adaptation to spike-based communication
Balazs B Ujfalussy · Mate Lengyel
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E Waters · Aswin C Sankaranarayanan · Richard Baraniuk
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Additive Gaussian Processes
David Duvenaud · Hannes Nickisch · Carl Edward Rasmussen
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff · Pavan Turaga · Rama Chellappa
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T Pham · Tat-jun Chin · Jin Yu · David Suter
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao · Hirotaka Hachiya · Gang Niu · Masashi Sugiyama
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Shaping Level Sets with Submodular Functions
Francis Bach
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Bayesian Partitioning of Large-Scale Distance Data
David Adametz · Volker Roth
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Boosting with Maximum Adaptive Sampling
Charles Dubout · François Fleuret
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Selecting Receptive Fields in Deep Networks
Adam Coates · Andrew Y Ng
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Causal Discovery with Cyclic Additive Noise Models
Joris M Mooij · Dominik Janzing · Tom Heskes · Bernhard Schölkopf
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato · José Miguel Hernández-Lobato · Pierre Dupont
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum · Andrew G Barto
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Co-Training for Domain Adaptation
Minmin Chen · Kilian Q Weinberger · John Blitzer
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Committing Bandits
Loc X Bui · Ramesh Johari · Shie Mannor
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O Perry · Michael W Mahoney
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Confidence Sets for Network Structure
David S Choi · Patrick J Wolfe · Edo M Airoldi
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Ranking annotators for crowdsourced labeling tasks
Vikas C Raykar · Shipeng Yu
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang · Charles Sutton
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Probabilistic amplitude and frequency demodulation
Richard E Turner · Maneesh Sahani
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S Khan · Joost van de Weijer · Andrew D Bagdanov · Maria Vanrell
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
PiCoDes: Learning a Compact Code for Novel-Category Recognition
Alessandro Bergamo · Lorenzo Torresani · Andrew Fitzgibbon
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan · Alfred Hero
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel · Russ Salakhutdinov · Ohad Shamir · Nati Srebro
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Andrew M Saxe · Maneesh Bhand · Ritvik Mudur · Bipin Suresh · Andrew Y Ng
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Michalis Titsias · Miguel Lazaro-Gredilla
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M Kakade · Adam Kalai · Varun Kanade · Ohad Shamir
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V Messias · Matthijs Spaan · Pedro U Lima
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Energetically Optimal Action Potentials
Martin B Stemmler · Biswa Sengupta · Simon Laughlin · Jeremy Niven
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
On Tracking The Partition Function
Guillaume Desjardins · Aaron Courville · Yoshua Bengio
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani · Aurelie C Lozano
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Submodular Multi-Label Learning
James Petterson · Tiberio Caetano
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate · Noah Goodman · Andreas Stuhlmueller · Jeffrey M Siskind
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan · Satyen Kale
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi · Richard Naud · Wulfram Gerstner
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S Dhillon · Pradeep Ravikumar · Ambuj Tewari
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Generalised Coupled Tensor Factorisation
Kenan Y Yılmaz · Taylan Cemgil · Umut Simsekli
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Multiclass Boosting: Theory and Algorithms
Mohammad J Saberian · Nuno Vasconcelos
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
Shinichi Nakajima · Masashi Sugiyama · S. Derin Babacan
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Monte Carlo Value Iteration with Macro-Actions
Zhan Wei Lim · David Hsu · Wee Sun Lee
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms
Liefeng Bo · Xiaofeng Ren · Dieter Fox
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Matrix Completion for Image Classification
Ricardo S Cabral · Fernando D De la Torre · Joao P Costeira · Alexandre Bernardino
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim · Sebastian Nowozin · Pushmeet Kohli · Chang D. D Yoo
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
How biased are maximum entropy models?
Jakob H Macke · Iain Murray · Peter E Latham
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Learning Eigenvectors for Free
Wouter M Koolen · Wojciech Kotlowski · Manfred K. Warmuth
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-Kuo Huang · Jeff Schneider
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Inferring spike-timing-dependent plasticity from spike train data
Ian H Stevenson · Konrad Koerding
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
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 12 10:00 AM -- 02:59 PM (PST)
Large-Scale Category Structure Aware Image Categorization
Bin Zhao · Li Fei-Fei · Eric Xing
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger · Christian Wojek · Raquel Urtasun
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Transfer Learning by Borrowing Examples
Joseph Lim · Russ Salakhutdinov · Antonio Torralba
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
Thinning Measurement Models and Questionnaire Design
Ricardo Silva
Poster
Mon Dec 12 10:00 AM -- 02:59 PM (PST)
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto · Davide Anguita · Alessandro Ghio · Sandro Ridella