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Poster
Accounting for network effects in neuronal responses using L1 regularized point process models
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)
Energy Disaggregation via Discriminative Sparse Coding
J. Zico Kolter · Siddarth Batra · Andrew Y Ng
[ 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)
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)
Deterministic Single-Pass Algorithm for LDA
Issei Sato · Kenichi Kurihara · Hiroshi Nakagawa
[ 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)
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)
Learning from Candidate Labeling Sets
Jie Luo · Francesco Orabona
[ 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)
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)
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)
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)
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)
Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung · Novi Quadrianto · Alexander Smola · Kostas Tsioutsiouliklis
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Risk Minimization with Approximations of Probabilistic Grammars
Shay Cohen · Noah A Smith
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
MAP Estimation for Graphical Models by Likelihood Maximization
Akshat Kumar · Shlomo Zilberstein
[ PDF
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)
Bootstrapping Apprenticeship Learning
Abdeslam Boularias · Brahim Chaib-draa
[ PDF
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
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Active Estimation of F-Measures
Christoph Sawade · Niels Landwehr · Tobias Scheffer
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Boosting Classifier Cascades
Mohammad J Saberian · Nuno Vasconcelos
[ 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)
Multi-Stage Dantzig Selector
Ji Liu · Peter Wonka · Jieping Ye
[ 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)
Scrambled Objects for Least-Squares Regression
Odalric-Ambrym Maillard · Remi Munos
[ 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)
Predictive State Temporal Difference Learning
Byron Boots · Geoffrey Gordon
[ PDF
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 Yuille
[ 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)
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)
Generalized roof duality and bisubmodular functions
Vladimir Kolmogorov
[ 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)
Reverse Multi-Label Learning
James Petterson · Tiberio Caetano
[ 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)
Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson · Carlos Guestrin
[ 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)
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)
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)
Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale P Doshi-Velez · David Wingate · Nicholas Roy · Josh Tenenbaum
[ 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Empirical Bernstein Inequalities for U-Statistics
Thomas Peel · Sandrine Anthoine · Liva Ralaivola
[ 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)
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
Bo Thiesson · Chong Wang
[ PDF
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
[ PDF
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)
A unified model of short-range and long-range motion perception
Shuang Wu · Xuming He · HongJing Lu · Alan Yuille
[ 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)
Double Q-learning
Hado P van Hasselt
[ PDF
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
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Gated Softmax Classification
Roland Memisevic · Christopher Zach · Geoffrey E Hinton · Marc Pollefeys
[ 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)
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)
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)
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)
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)
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)
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)
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)
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li · Cristian Sminchisescu
[ 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)
Generative Local Metric Learning for Nearest Neighbor Classification
Yung-Kyun Noh · Byoung-Tak Zhang · Daniel Lee
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Random Conic Pursuit for Semidefinite Programming
Ariel Kleiner · ali rahimi · Michael Jordan
[ 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)
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)
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)
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)
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
George Dahl · Marc'Aurelio Ranzato · Abdel-rahman Mohamed · Geoffrey E Hinton
[ PDF
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
[ PDF
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
[ 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
[ PDF
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
[ PDF
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
[ 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)
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)
Spike timing-dependent plasticity as dynamic filter
Joscha T Schmiedt · Christian Albers · Klaus R Pawelzik
[ 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)
Bayesian Action-Graph Games
Albert Xin Jiang · Kevin Leyton-Brown
[ 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)
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)
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)
Direct Loss Minimization for Structured Prediction
David A McAllester · Tamir Hazan · Joseph Keshet
[ PDF
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi Milani Fard · Joelle Pineau
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Bayesian Framework for Figure-Ground Interpretation
Vicky Froyen · Jacob Feldman · Manish Singh
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning To Count Objects in Images
Victor Lempitsky · Andrew Zisserman
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Kernel Descriptors for Visual Recognition
Liefeng Bo · Xiaofeng Ren · Dieter Fox
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluating neuronal codes for inference using Fisher information
Ralf Haefner · Matthias Bethge
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Smoothness, Low Noise and Fast Rates
Nati Srebro · Karthik Sridharan · Ambuj Tewari
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Trading off Mistakes and Don't-Know Predictions
Amin Sayedi · Morteza Zadimoghaddam · Avrim Blum
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Inference and Differential Privacy
Oliver Williams · Frank McSherry
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Deterministic Infinite Automata
David Pfau · Nicholas Bartlett · Frank Wood
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Theory of Multiclass Boosting
Indraneel Mukherjee · Robert E Schapire
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Sylvain Chevallier · Helene Paugam-Moisy · Michele Sebag
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin · Andreas Krause · Debajyoti Ray
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exact learning curves for Gaussian process regression on large random graphs
Matthew J Urry · Peter Sollich
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Deep Coding Network
Yuanqing Lin · Tong Zhang · Shenghuo Zhu · Kai Yu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
George Konidaris · Scott R Kuindersma · Andrew G Barto · Roderic A Grupen
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh Agarwal · Sahand N Negahban · Martin J Wainwright
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Network Flow Algorithms for Structured Sparsity
Julien Mairal · Rodolphe Jenatton · Guillaume R Obozinski · Francis Bach
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
Eiji Mizutani · Stuart Dreyfus
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inference and communication in the game of Password
Yang Xu · Charles Kemp
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A rational decision making framework for inhibitory control
Pradeep Shenoy · Rajesh PN Rao · Angela Yu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluation of Rarity of Fingerprints in Forensics
Chang Su · Sargur N Srihari
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Minimum Average Cost Clustering
Kiyohito Nagano · Yoshinobu Kawahara · Satoru Iwata
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improvements to the Sequence Memoizer
Jan Gasthaus · Yee Whye Teh
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
Kanaka Rajan · L F Abbott · Haim Sompolinsky
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Cascade Optimization Using A Product Of Boosted Classifiers
Leonidas Lefakis · François Fleuret
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multi-View Active Learning in the Non-Realizable Case
Wei Wang · Zhi-Hua Zhou
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Subgraph Detection Using Eigenvector L1 Norms
Benjamin A Miller · Nadya T Bliss · Patrick J Wolfe
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Link Discovery using Graph Feature Tracking
Emile Richard · Nicolas Baskiotis · Theos Evgeniou · Nicolas Vayatis
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving Human Judgments by Decontaminating Sequential Dependencies
Michael Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Pose-Sensitive Embedding by Nonlinear NCA Regression
Graham Taylor · Rob Fergus · George Williams · Ian Spiro · Christoph Bregler
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
Diane Hu · Laurens van der Maaten · Youngmin Cho · Lawrence Saul · Sorin Lerner
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Structured sparsity-inducing norms through submodular functions
Francis Bach
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A biologically plausible network for the computation of orientation dominance
Kritika Muralidharan · Nuno Vasconcelos
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa · Jan Peters
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
Anand Singh · Renaud Jolivet · Pierre J Magistretti · Bruno Weber
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Dirk Husmeier · Frank Dondelinger · Sophie Lebre
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Copula Processes
Andrew Wilson · Zoubin Ghahramani
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Unsupervised Kernel Dimension Reduction
Meihong Wang · Fei Sha · Michael Jordan
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Global seismic monitoring as probabilistic inference
Nimar Arora · Stuart J Russell · Paul Kidwell · Erik Sudderth
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Approximate Inference by Compilation to Arithmetic Circuits
Daniel Lowd · Pedro Domingos
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Self-Paced Learning for Latent Variable Models
M. Pawan Kumar · Benjamin D Packer · Daphne Koller
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard · Wulfram Gerstner
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
LSTD with Random Projections
Mohammad Ghavamzadeh · Alessandro Lazaric · Odalric-Ambrym Maillard · Remi Munos
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Causal discovery in multiple models from different experiments
Tom Claassen · Tom Heskes
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain · Sudheendra Vijayanarasimhan · Kristen Grauman
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Avoiding False Positive in Multi-Instance Learning
Yanjun Han · Qing Tao · Jue Wang
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
The Neural Costs of Optimal Control
Samuel J Gershman · Robert C Wilson
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Static Analysis of Binary Executables Using Structural SVMs
Nikos Karampatziakis
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Semi-Supervised Learning with Adversarially Missing Label Information
Umar Syed · Ben Taskar
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Bounds for Importance Weighting
Corinna Cortes · Yishay Mansour · Mehryar Mohri
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Practical Large-Scale Optimization for Max-norm Regularization
Jason D Lee · Benjamin Recht · Russ Salakhutdinov · Nati Srebro · Joel A Tropp
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large Margin Multi-Task Metric Learning
Shibin Parameswaran · Kilian Q Weinberger
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Optimal learning rates for Kernel Conjugate Gradient regression
Gilles Blanchard · Nicole Krämer
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
Danial Lashkari · Ramesh Sridharan · Polina Golland
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Identifying Dendritic Processing
Aurel A Lazar · Yevgeniy B Slutskiy
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
Chiuso Alessandro c/o Dip. I Informazione · Gianluigi Pillonetto
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Gaussian Process Preference Elicitation
Edwin Bonilla · Shengbo Guo · Scott Sanner
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
Kaiming Li · Lei Guo · Carlos Faraco · Dajiang Zhu · Fan Deng · Tuo Zhang · Xi Jiang · Degang Zhang · Hanbo Chen · Xintao Hu · Steve Miller · tianming Liu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Discriminative Clustering by Regularized Information Maximization
Ryan G Gomes · Andreas Krause · Pietro Perona
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inductive Regularized Learning of Kernel Functions
Prateek Jain · Brian Kulis · Inderjit Dhillon
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Synergies in learning words and their referents
Mark Johnson · Katherine Demuth · Michael C Frank · Bevan K Jones
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Attractor Dynamics with Synaptic Depression
C. C. Alan Fung · K. Y. Michael Wong · He Wang · Si Wu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicit Differentiation by Perturbation
Justin Domke
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Lifted Inference Seen from the Other Side : The Tractable Features
Abhay Jha · Vibhav Gogate · Alexandra Meliou · Dan Suciu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Factorized Latent Spaces with Structured Sparsity
Yangqing Jia · Mathieu Salzmann · Trevor Darrell
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning invariant features using the Transformed Indian Buffet Process
Joseph L Austerweil · Tom Griffiths
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Efficient Minimization of Decomposable Submodular Functions
Peter G Stobbe · Andreas Krause
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
Ning Chen · Jun Zhu · Eric Xing
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Worst-case bounds on the quality of max-product fixed-points
Meritxell Vinyals · Jesús Cerquides · Alessandro Farinelli · Juan A Rodríguez-Aguilar
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren A Hannah · Warren B Powell · David Blei
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Variable margin losses for classifier design
Hamed Masnadi-Shirazi · Nuno Vasconcelos
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
Eric X Wang · Dehong Liu · Jorge G Silva · David B Dunson · Lawrence Carin
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
MAP estimation in Binary MRFs via Bipartite Multi-cuts
Sashank Jakkam Reddi · Sunita Sarawagi · Sundar Vishwanathan
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
Tamir Hazan · Raquel Urtasun
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Multi-Task Feature Selection
Yu Zhang · Dit-Yan Yeung · Qian Xu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
(RF)^2 -- Random Forest Random Field
Nadia C Payet · Sinisa Todorovic
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Yi Sun · Faustino Gomez · Jürgen Schmidhuber
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Decomposing Isotonic Regression for Efficiently Solving Large Problems
Ronny Luss · Saharon Rosset · Moni Shahar
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
Mathieu Salzmann · Raquel Urtasun
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Over-complete representations on recurrent neural networks can support persistent percepts
Shaul Druckmann · Dmitri B Chklovskii
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning to localise sounds with spiking neural networks
Dan F Goodman · Romain Brette
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
Siwei Lyu
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Random Projections for $k$-means Clustering
Christos Boutsidis · Anastasios Zouzias · Petros Drineas
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Transduction with Matrix Completion: Three Birds with One Stone
Andrew B Goldberg · Jerry Zhu · Benjamin Recht · Junming Sui · Rob Nowak
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Congcong Li · Adarsh P Kowdle · Ashutosh Saxena · Tsuhan Chen
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
Alessandro Bergamo · Lorenzo Torresani
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large-Scale Matrix Factorization with Missing Data under Additional Constraints
Kaushik Mitra · Sameer Sheorey · Rama Chellappa
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Extended Bayesian Information Criteria for Gaussian Graphical Models
Rina Foygel · Mathias Drton
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Permutation Complexity Bound on Out-Sample Error
Malik Magdon-Ismail
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Tiled convolutional neural networks
Quoc V. Le · Jiquan Ngiam · Zhenghao Chen · Daniel Jin hao Chia · Pang Wei Koh · Andrew Y Ng
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Gaussian sampling by local perturbations
George Papandreou · Alan Yuille
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Dirty Model for Multi-task Learning
Ali Jalali · Pradeep Ravikumar · Sujay Sanghavi · Chao Ruan
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning concept graphs from text with stick-breaking priors
America Chambers · Padhraic Smyth · Mark Steyvers
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning the context of a category
Daniel Navarro
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Convolutional Feature Hierarchies for Visual Recognition
koray kavukcuoglu · Pierre Sermanet · Y-Lan Boureau · Karol Gregor · Michael Mathieu · Yann LeCun
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Variational Inference over Combinatorial Spaces
Alexandre Bouchard-Côté · Michael Jordan
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multiple Kernel Learning and the SMO Algorithm
S.V.N. Vishwanathan · Zhaonan sun · Nawanol T Ampornpunt · Manik Varma
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Robust PCA via Outlier Pursuit
Huan Xu · Constantine Caramanis · Sujay Sanghavi
[ PDF
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Active Learning Applied to Patient-Adaptive Heartbeat Classification
Jenna Wiens · John Guttag
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Structured Determinantal Point Processes
Alex Kulesza · Ben Taskar
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
Ali Shojaie · George Michailidis
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On the Convexity of Latent Social Network Inference
Seth A Myers · Jure Leskovec
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Switched Latent Force Models for Movement Segmentation
Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Functional Geometry Alignment and Localization of Brain Areas
Georg Langs · Yanmei Tie · Laura Rigolo · Alexandra Golby · Polina Golland
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas K Fisher · Arunava Banerjee
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Paolo Viappiani · Craig E Boutilier
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Accounting for network effects in neuronal responses using L1 regularized point process models
Ryan C Kelly · Matthew A Smith · Robert E Kass · Tai Sing Lee
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Graph-Valued Regression
Han Liu · Xi Chen · John Lafferty · Larry Wasserman
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Construction of Dependent Dirichlet Processes based on Poisson Processes
Dahua Lin · Eric Grimson · John Fisher III
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Universal Consistency of Multi-Class Support Vector Classification
Tobias Glasmachers
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Supervised Clustering
Pranjal Awasthi · Reza Zadeh
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Markov Decision Processes under Bandit Feedback
Gergely Neu · András György · Csaba Szepesvari · András Antos
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying graph-structured activation patterns in networks
James L Sharpnack · Aarti Singh
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
The LASSO risk: asymptotic results and real world examples
Mohsen Bayati · José Bento · Andrea Montanari
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Using body-anchored priors for identifying actions in single images
Leonid Karlinsky · Michael Dinerstein · Shimon Ullman
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear readout from a neural population with partial correlation data
Adrien Wohrer · Ranulfo Romo · Christian K Machens
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
Taehwan Kim · Greg Shakhnarovich · Raquel Urtasun
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Evidence-Specific Structures for Rich Tractable CRFs
Anton Chechetka · Carlos Guestrin
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Throttling Poisson Processes
Uwe Dick · Peter Haider · Thomas Vanck · Michael Brückner · Tobias Scheffer
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Learning in The Manifold of Low-Rank Matrices
Uri Shalit · Daphna Weinshall · Gal Chechik
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
New Adaptive Algorithms for Online Classification
Francesco Orabona · Yacov Crammer
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
Yi-Da Wu · Shi-Jie Lin · Hsin Chen
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Brain covariance selection: better individual functional connectivity models using population prior
Gaël Varoquaux · Alexandre Gramfort · Jean-Baptiste Poline · Bertrand Thirion
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Guy D Isely · Christopher J Hillar · Fritz Sommer
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Simultaneous Object Detection and Ranking with Weak Supervision
Matthew B Blaschko · Andrea Vedaldi · Andrew Zisserman
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper · Andreas Ruttor · Guido Sanguinetti
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Robust Clustering as Ensembles of Affinity Relations
Hairong Liu · Longin Jan J Latecki · shuicheng yan
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
Katsuhiko Ishiguro · Tomoharu Iwata · Naonori Ueda · Josh Tenenbaum
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning via Gaussian Herding
Yacov Crammer · Daniel Lee
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Large Margin Learning of Upstream Scene Understanding Models
Jun Zhu · Li-Jia Li · Li Fei-Fei · Eric Xing
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Rates of convergence for the cluster tree
Kamalika Chaudhuri · Sanjoy Dasgupta
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Universal Kernels on Non-Standard Input Spaces
Andreas Christmann · Ingo Steinwart
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Efficient Markov Networks
Vibhav Gogate · William A Webb · Pedro Domingos
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Distributionally Robust Markov Decision Processes
Huan Xu · Shie Mannor
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Matthias Hein · Thomas Bühler
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu · Xi Chen
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tight Sample Complexity of Large-Margin Learning
Sivan Sabato · Nati Srebro · Naftali Tishby
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike
Stella X Yu
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Label Embedding Trees for Large Multi-Class Tasks
Samy Bengio · Jason E Weston · David Grangier
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Exact inference and learning for cumulative distribution functions on loopy graphs
Jim C Huang · Nebojsa Jojic · Christopher Meek
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Classification with Specificity Constraints
Andrey Bernstein · Shie Mannor · Nahum Shimkin
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Probabilistic latent variable models for distinguishing between cause and effect
Joris M Mooij · Oliver Stegle · Dominik Janzing · Kun Zhang · Bernhard Schölkopf
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient Optimization for Discriminative Latent Class Models
Armand Joulin · Francis Bach · Jean A Ponce
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Global Analytic Solution for Variational Bayesian Matrix Factorization
Shinichi Nakajima · Masashi Sugiyama · Ryota Tomioka
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Phoneme Recognition with Large Hierarchical Reservoirs
Fabian Triefenbach · Azarakhsh Jalalvand · Benjamin Schrauwen · Jean-Pierre Martens
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Learning for Latent Dirichlet Allocation
Matthew D. Hoffman · David Blei · Francis Bach
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
More data means less inference: A pseudo-max approach to structured learning
David Sontag · Ofer Meshi · Tommi Jaakkola · Amir Globerson
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear Complementarity for Regularized Policy Evaluation and Improvement
Jeff Johns · Christopher Painter-Wakefield · Ronald Parr
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Set Embedding for Incomplete Data
David Grangier · Iain Melvin
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
Sofia Mosci · Silvia Villa · Alessandro Verri · Lorenzo Rosasco
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Networks of Stochastic Differential Equations
José Bento · Morteza Ibrahimi · Andrea Montanari
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Reduction from Apprenticeship Learning to Classification
Umar Syed · Robert E Schapire
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
Zeeshan Syed · John Guttag
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A novel family of non-parametric cumulative based divergences for point processes
Sohan Seth · Il Memming Park · Austin J Brockmeier · Mulugeta Semework · John S Choi · Joseph T Francis · Jose C Principe
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Spatial and anatomical regularization of SVM for brain image analysis
Remi Cuingnet · Marie Chupin · Habib Benali · Olivier Colliot
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A POMDP Extension with Belief-dependent Rewards
Mauricio A Araya · Olivier Buffet · Vincent Thomas · François Charpillet
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning from Logged Implicit Exploration Data
Alexander L Strehl · John Langford · Lihong Li · Sham M Kakade
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
Feiping Nie · Heng Huang · Xiao Cai · Chris Ding
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Generating more realistic images using gated MRF's
Marc'Aurelio Ranzato · Volodymyr Mnih · Geoffrey E Hinton
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Russ Salakhutdinov · Nati Srebro
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
Gowtham Bellala · Suresh Bhavnani · Clayton Scott
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Word Features for Latent Dirichlet Allocation
James Petterson · Alexander Smola · Tiberio Caetano · Wray L Buntine · Shravan M Narayanamurthy
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan · Sanjoy K Mitter
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Fractionally Predictive Spiking Neurons
Sander M Bohte · Jaldert Rombouts
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Jie Tang · Pieter Abbeel
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Guaranteed Rank Minimization via Singular Value Projection
Prateek Jain · Raghu Meka · Inderjit Dhillon
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray · Ryan Adams
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Moreau-Yosida Regularization for Grouped Tree Structure Learning
Jun Liu · Jieping Ye
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
David C Lee · Abhinav Gupta · Martial Hebert · Takeo Kanade
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Copula Bayesian Networks
Gal Elidan
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Construction for Inverse Reinforcement Learning
Sergey Levine · Zoran Popovic · Vladlen Koltun
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Policy gradients in linearly-solvable MDPs
Emanuel Todorov
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning to combine foveal glimpses with a third-order Boltzmann machine
Hugo Larochelle · Geoffrey E Hinton
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Kamiya Motwani · Nagesh Adluru · Chris Hinrichs · andrew L Alexander · Vikas Singh
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Active Learning by Querying Informative and Representative Examples
Sheng-Jun Huang · Rong Jin · Zhi-Hua Zhou
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
t-logistic regression
Nan Ding · S.V.N. Vishwanathan
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Worst-Case Linear Discriminant Analysis
Yu Zhang · Dit-Yan Yeung
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
Stefan Harmeling · Michael Hirsch · Bernhard Schölkopf
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Active Instance Sampling via Matrix Partition
Yuhong Guo
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Variational bounds for mixed-data factor analysis
Mohammad Emtiyaz Khan · Benjamin Marlin · Guillaume Bouchard · Kevin Murphy
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Family of Penalty Functions for Structured Sparsity
Charles A Micchelli · Jean M Morales · Massimiliano Pontil
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
The Multidimensional Wisdom of Crowds
Peter Welinder · Steve Branson · Serge Belongie · Pietro Perona
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Humans Learn Using Manifolds, Reluctantly
Bryan R Gibson · Jerry Zhu · Timothy T Rogers · Chuck Kalish · Joseph Harrison
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Discriminative Latent Model of Image Region and Object Tag Correspondence
Yang Wang · Greg Mori
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal · Hal Daumé III · Samuel Gerber
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
Atsushi Miyamae · Yuichi Nagata · Isao Ono · Shigenobu Kobayashi
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
Kentaro Katahira · Kazuo Okanoya · Masato Okada
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Implicit encoding of prior probabilities in optimal neural populations
Deep Ganguli · Eero Simoncelli
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Random Walk Approach to Regret Minimization
Hariharan Narayanan · Sasha Rakhlin
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Lower Bounds on Rate of Convergence of Cutting Plane Methods
Xinhua Zhang · Ankan Saha · S.V.N. Vishwanathan
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tree-Structured Stick Breaking for Hierarchical Data
Ryan Adams · Zoubin Ghahramani · Michael Jordan
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On Herding and the Perceptron Cycling Theorem
Andrew E Gelfand · Yutian Chen · Laurens van der Maaten · Max Welling
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Distributed Dual Averaging In Networks
John Duchi · Alekh Agarwal · Martin J Wainwright
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
Morten Mørup · Kristoffer H Madsen · Anne-Marie Dogonowski · hartwig R Siebner · Lars K Hansen
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sphere Embedding: An Application to Part-of-Speech Induction
Yariv Maron · Michael T Lamar · Elie L Bienenstock
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Shadow Dirichlet for Restricted Probability Modeling
Bela A Frigyik · Maya R Gupta · Yihua Chen
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Random Projection Trees Revisited
Aman Dhesi · Purushottam Kar
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Yi Zhang · Jeff Schneider
[ PDF
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Segmentation as Maximum-Weight Independent Set
william brendel · Sinisa Todorovic
[ PDF