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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Gated Softmax Classification
Roland Memisevic · Christopher Zach · Geoffrey E Hinton · Marc Pollefeys
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian C Millner · Andreas Grübl · Karlheinz Meier · Johannes Schemmel · Marc-Olivier Schwartz
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung · Novi Quadrianto · Alexander Smola · Kostas Tsioutsiouliklis
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
Bo Thiesson · Chong Wang
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
George Dahl · Marc'Aurelio Ranzato · Abdel-rahman Mohamed · Geoffrey E Hinton
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A unified model of short-range and long-range motion perception
Shuang Wu · Xuming He · HongJing Lu · Alan L Yuille
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
Felix V Agakov · Paul McKeigue · Jon Krohn · Amos Storkey
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Energy Disaggregation via Discriminative Sparse Coding
J. Zico Kolter · Siddarth Batra · Andrew Y Ng
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale P Doshi-Velez · David Wingate · Nicholas Roy · Josh Tenenbaum
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
MAP Estimation for Graphical Models by Likelihood Maximization
Akshat Kumar · Shlomo Zilberstein
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Spike timing-dependent plasticity as dynamic filter
Joscha T Schmiedt · Christian Albers · Klaus R Pawelzik
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Direct Loss Minimization for Structured Prediction
David A McAllester · Tamir Hazan · Joseph Keshet
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Functional form of motion priors in human motion perception
HongJing Lu · Tungyou Lin · Alan L Lee · Luminita Vese · Alan L Yuille
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Beyond Actions: Discriminative Models for Contextual Group Activities
Tian Lan · Yang Wang · Weilong Yang · Greg Mori
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Active Estimation of F-Measures
Christoph Sawade · Niels Landwehr · Tobias Scheffer
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi Milani Fard · Joelle Pineau
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generative Local Metric Learning for Nearest Neighbor Classification
Yung-Kyun Noh · Byoung-Tak Zhang · Daniel Lee
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Double Q-learning
Hado P van Hasselt
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Why are some word orders more common than others? A uniform information density account
Luke Maurits · Daniel Navarro · Amy F Perfors
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
Hongbo Zhou · Qiang Cheng
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama · Masato Okada
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Katya Scheinberg · Shiqian Ma · Donald Goldfarb
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
Martha White · Adam M White
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Risk Minimization with Approximations of Probabilistic Grammars
Shay Cohen · Noah A Smith
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Size Matters: Metric Visual Search Constraints from Monocular Metadata
Mario J Fritz · Kate Saenko · Trevor Darrell
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Random Conic Pursuit for Semidefinite Programming
Ariel Kleiner · ali rahimi · Michael Jordan
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
David Pal · Barnabas Poczos · Csaba Szepesvari
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Predictive State Temporal Difference Learning
Byron Boots · Geoffrey Gordon
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Getting lost in space: Large sample analysis of the resistance distance
Ulrike von Luxburg · Agnes Radl · Matthias Hein
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand · Remi Munos · Csaba Szepesvari
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Scrambled Objects for Least-Squares Regression
Odalric-Ambrym Maillard · Remi Munos
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A Bayesian Approach to Concept Drift
Stephen H Bach · Mark Maloof
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Boosting Classifier Cascades
Mohammad J Saberian · Nuno Vasconcelos
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Short-term memory in neuronal networks through dynamical compressed sensing
Surya Ganguli · Haim Sompolinsky
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Parallelized Stochastic Gradient Descent
Martin A Zinkevich · Markus Weimer · Alexander Smola · Lihong Li
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Bootstrapping Apprenticeship Learning
Abdeslam Boularias · Brahim Chaib-draa
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Non-Stochastic Bandit Slate Problems
Satyen Kale · Lev Reyzin · Robert E Schapire
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
David Reichert · Peggy Series · Amos Storkey
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Probabilistic Belief Revision with Structural Constraints
Peter B Jones · Venkatesh Saligrama · Sanjoy K Mitter
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Parametric Bandits: The Generalized Linear Case
Sarah Filippi · Olivier Cappé · Aurélien Garivier · Csaba Szepesvari
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Deterministic Single-Pass Algorithm for LDA
Issei Sato · Kenichi Kurihara · Hiroshi Nakagawa
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Efficient Relational Learning with Hidden Variable Detection
Ni Lao · Jun Zhu · Liu Xinwang · Yandong Liu · William Cohen
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Manas A Pathak · Shantanu Rane · Bhiksha Raj
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection
Paul L Ruvolo · javier r movellan
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Agnostic Active Learning Without Constraints
Alina Beygelzimer · Daniel Hsu · John Langford · Tong Zhang
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A New Probabilistic Model for Rank Aggregation
Tao Qin · Xiubo Geng · Tie-Yan Liu
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
Hai-Son P Le · Ziv Bar-Joseph
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li · Arnd C König · Wenhao Gui
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Reward Design via Online Gradient Ascent
Jonathan D Sorg · Satinder Singh · Richard L Lewis
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad C Rawlik · Marc Toussaint · Sethu Vijayakumar
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
Han Liu · Kathryn Roeder · Larry Wasserman
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generalized roof duality and bisubmodular functions
Vladimir Kolmogorov
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Reverse Multi-Label Learning
James Petterson · Tiberio Caetano
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Basis Construction from Power Series Expansions of Value Functions
Sridhar Mahadevan · Bo Liu
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
Chris Barber · Joe Bockhorst · Paul Roebber
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
Serhat S Bucak · Rong Jin · Anil K Jain
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multi-Stage Dantzig Selector
Ji Liu · Peter Wonka · Jieping Ye
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
Achintya Kundu · Vikram Mukunda Rao Tankasali · Chiranjib Bhattacharyya · Aharon Ben-Tal
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Spectral Regularization for Support Estimation
Ernesto De Vito · Lorenzo Rosasco · Alessandro Toigo
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Monte-Carlo Planning in Large POMDPs
David Silver · Joel Veness
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Mixture of time-warped trajectory models for movement decoding
Elaine A Corbett · Eric J Perreault · Konrad Koerding
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Repeated Games against Budgeted Adversaries
Jacob D Abernethy · Manfred K. Warmuth
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Aurelie Lozano · Vikas Sindhwani
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sidestepping Intractable Inference with Structured Ensemble Cascades
David J Weiss · Benjamin J Sapp · Ben Taskar
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Adaptive Multi-Task Lasso: with Application to eQTL Detection
Seunghak Lee · Jun Zhu · Eric Xing
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast detection of multiple change-points shared by many signals using group LARS
Jean-Philippe Vert · Kevin Bleakley
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Occlusion Detection and Motion Estimation with Convex Optimization
Alper Ayvaci · Michalis Raptis · Stefano Soatto
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Learning Kernels with Radiuses of Minimum Enclosing Balls
Kun Gai · Guangyun Chen · Changshui Zhang
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
Ling Huang · Jinzhu Jia · Bin Yu · Byung-Gon Chun · Petros Maniatis · Mayur Naik
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
Deqing Sun · Erik Sudderth · Michael J Black
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
CUR from a Sparse Optimization Viewpoint
Jacob Bien · Ya Xu · Michael W Mahoney
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Co-regularization Based Semi-supervised Domain Adaptation
Hal Daumé III · Abhishek Kumar · Avishek Saha
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Structural epitome: a way to summarize one’s visual experience
Nebojsa Jojic · Alessandro Perina · Vittorio Murino
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Bayesian Action-Graph Games
Albert Xin Jiang · Kevin Leyton-Brown
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
Yuzong Liu · Mohit Sharma · Charles M Gaona · Jonathan D Breshears · jarod Roland · zachary V Freudenburg · Kilian Q Weinberger · Eric C Leuthardt
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Group Sparse Coding with a Laplacian Scale Mixture Prior
Pierre J Garrigues · Bruno Olshausen
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multitask Learning without Label Correspondences
Novi Quadrianto · Alexander Smola · Tiberio Caetano · S.V.N. Vishwanathan · James Petterson
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
On the Theory of Learnining with Privileged Information
Dmitry Pechyony · Vladimir Vapnik
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Regularized estimation of image statistics by Score Matching
Diederik Kingma · Yann LeCun
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler · Lise Getoor
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Batch Bayesian Optimization via Simulation Matching
Javad Azimi · Alan Fern · Xiaoli Fern
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A Computational Decision Theory for Interactive Assistants
Alan Fern · Prasad Tadepalli
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
The Maximal Causes of Natural Scenes are Edge Filters
Jose G Puertas · Jörg Bornschein · Jörg Lücke
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Li-Jia Li · Hao Su · Eric Xing · Li Fei-Fei
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
Wei Chen · Tie-Yan Liu · Zhi-Ming Ma
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Learning from Candidate Labeling Sets
Jie Luo · Francesco Orabona
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Towards Property-Based Classification of Clustering Paradigms
Margareta Ackerman · Shai Ben-David · David R Loker
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Bernstein Inequalities for U-Statistics
Thomas Peel · Sandrine Anthoine · Liva Ralaivola
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Heavy-Tailed Process Priors for Selective Shrinkage
Fabian L Wauthier · Michael Jordan
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson · Carlos Guestrin
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layer-wise analysis of deep networks with Gaussian kernels
Grégoire Montavon · Mikio L Braun · Klaus-Robert Müller
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li · Cristian Sminchisescu
[ PDF