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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon · Yee Whye Teh · Esther Chan · Michael Brudno · Tim Hughes · Quaid Morris
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dependent Dirichlet Process Spike Sorting
Jan Gasthaus · Frank Wood · DILAN Gorur · Yee Whye Teh
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-Kyun Kim · Roberto Cipolla
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
The Gaussian Process Density Sampler
Ryan Adams · Iain Murray · David MacKay
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Adaptive Martingale Boosting
Phil Long · Rocco A Servedio
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Fast Prediction on a Tree
Mark Herbster · Massimiliano Pontil · Sergio Rojas Galeano
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Resolution Limits of Sparse Coding in High Dimensions
Allie Fletcher · Sundeep Rangan · Vivek K Goyal
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Scalable Hierarchical Distributed Language Model
Andriy Mnih · Geoffrey E Hinton
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He · Richard Zemel
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Grouping Contours Via a Related Image
Praveen Srinivasan · Liming Wang · Jianbo Shi
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Playing Pinball with non-invasive BCI
Michael W Tangermann (ne Schröder) · Matthias Krauledat · Konrad Grzeska · Max Sagebaum · Benjamin Blankertz · Klaus-Robert Müller
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dimensionality Reduction for Data in Multiple Feature Representations
Yen-Yu Lin · Tyng-Luh Liu · Chiou-Shann Fuh
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu · Rong Jin · Irwin King · Michael R Lyu
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Analyzing human feature learning as nonparametric Bayesian inference
Joe L Austerweil · Tom Griffiths
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman · Hagai Lalazar · Eilon Vaadia
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky · Svetlana Lazebnik · Rebecca Willett · Jorge G Silva
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Tighter Bounds for Structured Estimation
Olivier Chapelle · Chuong B Do · Quoc V Le · Alex Smola · Choon Hui Teo
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A rational model of preference learning and choice prediction by children
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Efficient Sampling for Gaussian Process Inference using Control Variables
Michalis Titsias · Neil D Lawrence · Magnus Rattray
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Kian Ming A Chai · Chris Williams · Stefan Klanke · Sethu Vijayakumar
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
From Online to Batch Learning with Cutoff-Averaging
Ofer Dekel
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall · Hynek Hermansky · Alon Zweig · Roger Luo · Holly B Jimison · Frank W Ohl · Misha Pavel
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley · Eduardo Corona · Terran Lane
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-Cheung Tam · Tanja Schultz
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Simple Local Models for Complex Dynamical Systems
Erik Talvitie · Satinder Singh
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill · Jason Farquhar · Suzanne Martens · Felix Bießmann · Bernhard Schölkopf
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Sparse Online Learning via Truncated Gradient
John Langford · Lihong Li · Tong Zhang
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Improved Moves for Truncated Convex Models
Pawan K Mudigonda · Philip Torr
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann · Jan Peters
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
ali rahimi · Benjamin Recht
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Efficient Exact Inference in Planar Ising Models
Nicol Schraudolph · Dmitry Kamenetsky
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael Todd · Yael Niv · Jonathan D Cohen
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang · Michael Jordan · Dit-Yan Yeung
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien · Fei Sha · Michael Jordan
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Natural Image Denoising with Convolutional Networks
Viren Jain · H. Sebastian Seung
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Optimal Response Initiation: Why Recent Experience Matters
Matt Jones · Mike Mozer · Sachiko Kinoshita
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian M Haith · Carl Jackson · R Chris Miall · Sethu Vijayakumar
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Gediminas Luksys · Carmen Sandi · Wulfram Gerstner
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Improving on Expectation Propagation
Manfred Opper · Ulrich Paquet · Ole Winther
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Exact Convex Confidence-Weighted Learning
Yacov Crammer · Mark Dredze · Fernando Pereira
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On Bootstrapping the ROC Curve
Patrice Bertail · Stephan Clémençon · Nicolas Vayatis
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock · Frank NIELSEN
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer · Marcel Stimberg · Robert Martin · Lars Schwabe · Jorge Mariño · James Schummers · David C. Lyon · Mriganka Sur · Klaus H Obermayer
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Sequential effects: Superstition or rational behavior?
Angela Yu · Jonathan D Cohen
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Depression: an RL formulation and a behavioural test
Quentin J Huys · jovo T Vogelstein · Peter Dayan
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Regularized Policy Iteration
Amir-massoud Farahmand · Mohammad Ghavamzadeh · Csaba Szepesvari · Shie Mannor
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Unlabeled data: Now it helps, now it doesn't
Aarti Singh · Rob Nowak · Jerry Zhu
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu · Eric Xing · Bo Zhang
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti · Nicolò Cesa-Bianchi · Claudio Gentile
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih R Amini · Nicolas Usunier · Francois Laviolette
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-Shirazi · Nuno Vasconcelos
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Optimization on a Budget: A Reinforcement Learning Approach
Paul L Ruvolo · Ian R Fasel · javier r movellan
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning Bounded Treewidth Bayesian Networks
Gal Elidan · Stephen Gould
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler · Christopher Meek
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Bayesian Approach for Extracting State Transition Dynamics from Multiple Spike Trains
Kentaro Katahira · Jun Nishikawa · Kazuo Okanoya · Masato Okada
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis Bach
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
An Online Algorithm for Maximizing Submodular Functions
Matt Streeter · Daniel Golovin
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang · Jeff Schneider · Artur Dubrawski
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang · Jean-Yves Audibert · Remi Munos
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Breaking Audio CAPTCHAs with Machine Learning Techniques
Jennifer Tam · Jiri Simsa · Sean Hyde · Luis von Ahn
[ PDF
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Massively Parallel Digital Learning Processor
Hans Peter Graf · Hari Cadambi · Igor Durdanovic · Venkata Jakkula · Murugan Sankaradass · Eric Cosatto · Srimat Chakradhar
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Clusters and Coarse Partitions in LP Relaxations
David Sontag · Amir Globerson · Tommi Jaakkola
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W Roberts · Russ Tedrake
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever · Geoffrey E Hinton · Graham Taylor
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bounds on marginal probability distributions
Joris M Mooij · Hilbert J Kappen
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Nonlinear causal discovery with additive noise models
Patrik O Hoyer · Dominik Janzing · Joris M Mooij · Jonas Peters · Bernhard Schölkopf
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-resolution Exploration in Continuous Spaces
Ali Nouri · Michael L Littman
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi · Andrea Passerini
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer · Brian Milch · Leslie Kaelbling
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Reconciling Real Scores with Binary Comparisons: A Unified Logistic Model for Ranking
Nir Ailon
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu · Tom Griffiths
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-Shwartz · Sham M Kakade
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Policy Search for Motor Primitives in Robotics
Jens Kober · Jan Peters
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Suppport Vector Machines with a Reject Option
Yves Grandvalet · Joseph Keshet · Alain Rakotomamonjy · Stephane Canu
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Structure Learning in Human Sequential Decision-Making
Daniel Acuna · Paul R Schrater
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks · Stuart J Russell · Michael G Madden · Diane Morabito · Geoffrey T Manley · Kristan Staudenmayer · Mitchell Cohen
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M Kakade · Ambuj Tewari
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer · Thomas Jaksch · Ronald Ortner
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Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Online Metric Learning and Fast Similarity Search
Prateek Jain · Brian Kulis · Inderjit Dhillon · Kristen Grauman
[ PDF