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Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari · Pradeep Ravikumar · Inderjit S Dhillon
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
Zuoguan Wang · Gerwin Schalk · Qiang Ji
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A blind sparse deconvolution method for neural spike identification
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Denoising View of Matrix Completion
Weiran Wang · Miguel A. Carreira-Perpinan · Zhengdong Lu
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes · Laurent Jacob · Martin J Wainwright
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati · Boris S Gutkin
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Adaptive Hedge
Tim van Erven · Peter Grünwald · Wouter M Koolen · Steven D Rooij
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Algorithms and hardness results for parallel large margin learning
Rocco A Servedio · Phil Long
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle · Lihong Li
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
An Exact Algorithm for F-Measure Maximization
Krzysztof Dembczynski · Willem Waegeman · Weiwei Cheng · Eyke Hullermeier
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael Mozer · Benjamin Link · Harold Pashler
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Autonomous Learning of Action Models for Planning
Neville Mehta · Prasad Tadepalli · Alan Fern
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
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 13 08:45 AM -- 02:59 PM (PST)
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J Walsh · Daniel K Hewlett · Clayton T Morrison
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan · Aram Galstyan
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Composite Multiclass Losses
Elodie Vernet · Robert Williamson · Mark Reid
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Crowdclustering
Ryan G Gomes · Peter Welinder · Andreas Krause · Pietro Perona
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Demixed Principal Component Analysis
Wieland Brendel · Ranulfo Romo · Christian K Machens
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
Yuan Qi · Feng Yan
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A Simon · Nathaniel D Daw
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
David Mcallester · Joseph Keshet
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka · Shin'ichi Satoh
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Hashing Algorithms for Large-Scale Learning
Ping Li · Anshumali Shrivastava · Joshua L Moore · Arnd C König
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh · Martin J Wainwright
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
History distribution matching method for predicting effectiveness of HIV combination therapies
Jasmina Bogojeska
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Inductive reasoning about chimeric creatures
Charles Kemp
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Inference in continuous time changepoint point models
Florian Stimberg · Manfred Opper · Guido Sanguinetti · Andreas Ruttor
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-Son P Le · Ziv Bar-Joseph
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar Rahnama Rad · Liam Paninski
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning a Distance Metric from a Network
Blake Shaw · Bert Huang · Tony Jebara
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Anchor Planes for Classification
Ziming Zhang · Lubor Ladicky · Philip Torr · Amir Saffari
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding · Grace Wahba · Jerry Zhu
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Bharath Sriperumbudur · Kenji Fukumizu · Gert Lanckriet
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao · Juergen Gall · Luc V Gool · Raquel Urtasun
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning to Search Efficiently in High Dimensions
Zhen Li · Huazhong Ning · Liangliang Cao · Tong Zhang · Yihong Gong · Thomas S Huang
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Learning unbelievable marginal probabilities
Xaq S Pitkow · Yashar Ahmadian · Ken D Miller
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue · Carlos Guestrin
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Maximum Margin Multi-Label Structured Prediction
Christoph Lampert
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang · Piyush Rai · Hal Daumé III
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee Whye Teh · Charles Blundell · Lloyd T Elliott
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Multi-Bandit Best Arm Identification
Victor Gabillon · Mohammad Ghavamzadeh · Alessandro Lazaric · Sebastien Bubeck
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David Reichert · Peggy Series · Amos Storkey
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Francis Bach · Eric Moulines
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On the Universality of Online Mirror Descent
Nati Srebro · Karthik Sridharan · Ambuj Tewari
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On U-processes and clustering performance
Stéphan Clémençon
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory · Jeff Bilmes
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Penalty Decomposition Methods for Rank Minimization
Yong Zhang · Zhaosong Lu
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
Joni Pajarinen · Jaakko Peltonen
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Predicting response time and error rates in visual search
Bo Chen · Vidhya Navalpakkam · Pietro Perona
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Prediction strategies without loss
Michael Kapralov · Rina Panigrahy
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Priors over Recurrent Continuous Time Processes
Ardavan Saeedi · Alexandre Bouchard-Côté
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara · Takashi Washio
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Peter Gehler · Carsten Rother · Martin Kiefel · Lumin Zhang · Bernhard Schölkopf
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada · Taiji Suzuki · Takafumi Kanamori · Hirotaka Hachiya · Masashi Sugiyama
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Robust Lasso with missing and grossly corrupted observations
Nam H Nguyen · Nasser M Nasrabadi · Trac D Tran
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema Koppula · Abhishek Anand · Thorsten Joachims · Ashutosh Saxena
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sequence learning with hidden units in spiking neural networks
Johanni Brea · Walter Senn · Jean-Pascal Pfister
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Solving Decision Problems with Limited Information
Denis D Maua · Cassio P de Campos
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Bayesian Multi-Task Learning
Cedric Archambeau · Shengbo Guo · Onno Zoeter
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Estimation with Structured Dictionaries
David P Wipf
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Recovery with Brownian Sensing
Alexandra Carpentier · Odalric-Ambrym Maillard · Remi Munos
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Spectral Methods for Learning Multivariate Latent Tree Structure
Anima Anandkumar · Kamalika Chaudhuri · Daniel Hsu · Sham M Kakade · Le Song · Tong Zhang
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Statistical Tests for Optimization Efficiency
Levi Boyles · Anoop Korattikara · Deva Ramanan · Max Welling
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris · Scott Niekum · Philip Thomas
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
The Doubly Correlated Nonparametric Topic Model
Dae Il Kim · Erik Sudderth
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
The Fixed Points of Off-Policy TD
J. Zico Kolter
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
The Kernel Beta Process
Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft · Gilles Blanchard
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave · Guillaume R Obozinski · Francis Bach
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Active learning of neural response functions with Gaussian processes
Mijung Park · Greg Horwitz · Jonathan W Pillow
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Transfer from Multiple MDPs
Alessandro Lazaric · Marcello Restelli
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Universal low-rank matrix recovery from Pauli measurements
Yi-Kai Liu
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Variational Gaussian Process Dynamical Systems
Andreas Damianou · Michalis Titsias · Neil D Lawrence
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Video Annotation and Tracking with Active Learning
Carl Vondrick · Deva Ramanan
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard · Gyemin Lee · Clayton Scott
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Contextual Gaussian Process Bandit Optimization
Andreas Krause · Cheng Soon Ong
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Convergence Analysis of Log-Linear Training
Simon Wiesler · Hermann Ney
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Non-Parametric Approach to Dynamic Programming
Oliver Kroemer · Jan Peters
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun · Rita Chattopadhyay · Sethuraman Panchanathan · Jieping Ye
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z Khan · Pascal Poupart · John M Agosta
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter · Ohad Shamir · Nati Srebro · Karthik Sridharan
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Convergent Fitted Value Iteration with Linear Function Approximation
Daniel Lizotte
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Evaluating computational models of preference learning
Alan Jern · Christopher G Lucas · Charles Kemp
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier · Remi Munos
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao · Song-Chun Zhu
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
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 13 08:45 AM -- 02:59 PM (PST)
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen James Xiang · Hao Xu · Peter J Ramadge
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
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 13 08:45 AM -- 02:59 PM (PST)
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen · Cédric Févotte
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G Gibson · Duane Szafron
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
Guy Van den Broeck
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin · Peter Auer · Francois Laviolette · John Shawe-Taylor · Ronald Ortner
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale · Nicolò Cesa-Bianchi · Claudio Gentile · Giovanni Zappella
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Selecting the State-Representation in Reinforcement Learning
Odalric-Ambrym Maillard · Remi Munos · Daniil Ryabko
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin · Chiyuan Zhang · Xiaofei He
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis · Petros Drineas · Malik Magdon-Ismail
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-Jui Hsieh · Matyas A Sustik · Inderjit S Dhillon · Pradeep Ravikumar
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Structure Learning for Optimization
Shulin Yang · Ali Rahimi
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi · Masashi Sugiyama
Poster
Tue Dec 13 08:45 AM -- 02:59 PM (PST)
Variance Reduction in Monte-Carlo Tree Search
Joel Veness · Marc Lanctot · Michael Bowling