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65 Program Highlights »
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Poster
Tue Dec 5th through Wed the 6th @
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
Sathiya Selvaraj Keerthi · Vikas Sindhwani · Olivier Chapelle
Poster
Tue Dec 5th through Wed the 6th @
Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh · Yaakov Engel
Poster
Tue Dec 5th through Wed the 6th @
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
Wenye Li · Kin-Hong Lee · Kwong-Sak Leung
Poster
Tue Dec 5th through Wed the 6th @
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds
Gloria Haro · Gregory Randall · Guillermo Sapiro
Poster
Tue Dec 5th through Wed the 6th @
Map-Reduce for Machine Learning on Multicore
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary N Bradski · Andrew Y Ng · Kunle Olukotun
Poster
Tue Dec 5th through Wed the 6th @
A Kernel Method for the Two-Sample-Problem
Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alex J Smola
Poster
Tue Dec 5th through Wed the 6th @
Modeling Dyadic Data with Binary Latent Features
Ted Meeds · Zoubin Ghahramani · Radford M Neal · Sam T Roweis
Poster
Tue Dec 5th through Wed the 6th @
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-García · Kaare Brandt Petersen · Lars K Hansen
Poster
Tue Dec 5th through Wed the 6th @
An Approach to Bounded Rationality
Eli Ben-Sasson · Adam T Kalai · Ehud Kalai
Poster
Tue Dec 5th through Wed the 6th @
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber · Silvia Chiappa
Poster
Tue Dec 5th through Wed the 6th @
Denoising and Dimension Reduction in Feature Space
Mikio L Braun · Joachim M Buhmann · Klaus-Robert Müller
Poster
Tue Dec 5th through Wed the 6th @
Sample Complexity of Policy Search with Known Dynamics
Peter L Bartlett · Ambuj Tewari
Poster
Tue Dec 5th through Wed the 6th @
Part-based Probabilistic Point Matching using Equivalence Constraints
Graham McNeill · Sethu Vijayakumar
Poster
Tue Dec 5th through Wed the 6th @
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
Thomas Ott · Ruedi Stoop
Poster
Tue Dec 5th through Wed the 6th @
Prediction on a Graph with a Perceptron
Mark J Herbster · Massimiliano Pontil
Poster
Tue Dec 5th through Wed the 6th @
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck · Pavel Laskov · Soeren Sonnenburg
Poster
Tue Dec 5th through Wed the 6th @
Convex Repeated Games and Fenchel Duality
Shai Shalev-Shwartz · Yoram Singer
Poster
Tue Dec 5th through Wed the 6th @
Mixture Regression for Covariate Shift
Amos J Storkey · Masashi Sugiyama
Poster
Tue Dec 5th through Wed the 6th @
Robotic Grasping of Novel Objects
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
Poster
Tue Dec 5th through Wed the 6th @
Optimal Single-Class Classification Strategies
Ran El-Yaniv · Mordechai Nisenson
Poster
Tue Dec 5th through Wed the 6th @
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan · Mikhail Belkin · Partha Niyogi
Poster
Tue Dec 5th through Wed the 6th @
TrueSkill: A Bayesian Skill Rating System
Ralf Herbrich · Tom Minka · Thore K Graepel
Poster
Tue Dec 5th through Wed the 6th @
Modeling Human Motion Using Binary Latent Variables
Graham W Taylor · Geoffrey E Hinton · Sam T Roweis
Poster
Tue Dec 5th through Wed the 6th @
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier
Poster
Tue Dec 5th through Wed the 6th @
Multiple Instance Learning for Computer Aided Diagnosis
Glenn M Fung · Murat Dundar · Balaji R Krishnapuram · R. Bharat Rao
Poster
Tue Dec 5th through Wed the 6th @
Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel · Tobias Scheffer
Poster
Tue Dec 5th through Wed the 6th @
Support Vector Machines on a Budget
Ofer Dekel · Yoram Singer
Poster
Tue Dec 5th through Wed the 6th @
Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies
Frank Moosmann · Bill Triggs · FREDERIC JURIE
Poster
Tue Dec 5th through Wed the 6th @
MLLE: Modified Locally Linear Embedding Using Multiple Weights
Jing Wang · Zhenyue Zhang
Poster
Tue Dec 5th through Wed the 6th @
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle
Poster
Tue Dec 5th through Wed the 6th @
Learning from Multiple Sources
Koby Crammer · Michael Kearns · Jennifer Wortman Vaughan
Poster
Tue Dec 5th through Wed the 6th @
Online Clustering of Moving Subspaces
Rene Vidal
Poster
Tue Dec 5th through Wed the 6th @
Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin · Noam Slonim · Naftali Tishby
Poster
Tue Dec 5th through Wed the 6th @
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular St
Oliver Williams
Poster
Tue Dec 5th through Wed the 6th @
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
Poster
Tue Dec 5th through Wed the 6th @
Analysis of Representations for Domain Adaptation
John Blitzer · Shai Ben-David · Koby Crammer · Fernando C Pereira
Poster
Tue Dec 5th through Wed the 6th @
Doubly Stochastic Normalization for Spectral Clustering
Ron Zass · Amnon Shashua
Poster
Tue Dec 5th through Wed the 6th @
Multiple timescales and uncertainty in motor adaptation
Konrad P Kording · Josh Tenenbaum · Reza Shadmehr
Poster
Tue Dec 5th through Wed the 6th @
Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey · Christopher Olston
Poster
Tue Dec 5th through Wed the 6th @
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D Lee · Ian Fuss · Daniel Navarro
Poster
Tue Dec 5th through Wed the 6th @
Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani · Peggy Hackney · Christoph Bregler
Poster
Tue Dec 5th through Wed the 6th @
Learning annotated hierarchies from relational data
Dan M Roy · Charles Kemp · Vikash K Mansinghka · Josh Tenenbaum
Poster
Tue Dec 5th through Wed the 6th @
Tighter PAC-Bayes Bounds
Amiran Ambroladze · Emilio Parrado-Hernandez · John S Shawe-Taylor
Poster
Tue Dec 5th through Wed the 6th @
Simplifying Mixture Models through Function Approximation
Kai Zhang · James T Kwok
Poster
Tue Dec 5th through Wed the 6th @
Inferring Graphical Model Structure using $\ell_1$-Regularized Pseudo-Likelihood
Martin J Wainwright · Pradeep K Ravikumar · John Lafferty
Poster
Tue Dec 5th through Wed the 6th @
Inducing Metric Violations in Human Similarity Judgements
Julian Laub · Jakob H Macke · Klaus-Robert Müller · Felix A Wichmann
Poster
Tue Dec 5th through Wed the 6th @
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
Alex T Ihler · Padhraic Smyth
Poster
Tue Dec 5th through Wed the 6th @
Fast Iterative Kernel PCA
Nic Schraudolph · Simon Günter · Vishwanathan S V N
Poster
Tue Dec 5th through Wed the 6th @
Predicting spike times from subthreshold dynamics of a neuron
Ryota Kobayashi · Shigeru Shinomoto
Poster
Tue Dec 5th through Wed the 6th @
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
Gavin Cawley · Nicola Talbot · Mark A Girolami
Poster
Tue Dec 5th through Wed the 6th @
Using Combinatorial Optimization within Max-Product Belief Propagation
John Duchi · Daniel Tarlow · Gal Elidan · Daphne Koller
Poster
Tue Dec 5th through Wed the 6th @
The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu · Shie Mannor
Poster
Tue Dec 5th through Wed the 6th @
A Scalable Machine Learning Approach to Go
Lin Wu · Pierre Baldi
Poster
Tue Dec 5th through Wed the 6th @
Boosting Structured Prediction for Imitation Learning
Nathan D Ratliff · David M Bradley · Drew Bagnell · Joel Chestnutt
Poster
Tue Dec 5th through Wed the 6th @
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara · Takehisa Yairi · Kazuo Machida
Poster
Tue Dec 5th through Wed the 6th @
Aggregating Classification Accuracy through Time - Classifying Single Trial EEG
Steven Lemm · Christin Schäfer · Gabriel Curio
Poster
Tue Dec 5th through Wed the 6th @
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara · Max Welling · Nikos Vlassis
Poster
Tue Dec 5th through Wed the 6th @
Temporal Coding using the Response Properties of Spiking Neurons
Thomas Voegtlin
Poster
Tue Dec 5th through Wed the 6th @
A selective attention multi--chip system with dynamic synapses and spiking neurons
Chiara Bartolozzi · Giacomo Indiveri
Poster
Tue Dec 5th through Wed the 6th @
Fundamental Limitations of Spectral Clustering Methods
Boaz Nadler · Meirav Galun
Poster
Tue Dec 5th through Wed the 6th @
No-regret algorithms for Online Convex Programs
Geoffrey J Gordon
Poster
Tue Dec 5th through Wed the 6th @
Combining causal and similarity-based reasoning
Charles Kemp · Patrick Shafto · Allison Berke · Josh Tenenbaum
Poster
Tue Dec 5th through Wed the 6th @
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Mod
Mark Johnson · Thomas Griffiths · Sharon Goldwater
Poster
Tue Dec 5th through Wed the 6th @
Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang · Alex J Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
Poster
Tue Dec 5th through Wed the 6th @
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl · Robert Legenstein · Wolfgang Maass