NeurIPS 2008

250 papers

Scalable Algorithms for String Kernels with Inexact Matching

Pavel P. Kuksa, Pai-hsi Huang, Vladimir Pavlovic

The Mondrian Process

Daniel M. Roy, Yee W. Teh

One sketch for all: Theory and Application of Conditional Random Sampling

Ping Li, Kenneth W. Church, Trevor J. Hastie

Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation

Dotan D. Castro, Dmitry Volkinshtein, Ron Meir

Clustered Multi-Task Learning: A Convex Formulation

Laurent Jacob, Jean-philippe Vert, Francis R. Bach

Human Active Learning

Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers

Predictive Indexing for Fast Search

Sharad Goel, John Langford, Alexander L. Strehl

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex

Arno Onken, Steffen Grünewälder, Matthias Munk, Klaus Obermayer

Multiscale Random Fields with Application to Contour Grouping

Longin J. Latecki, Chengen Lu, Marc Sobel, Xiang Bai

On the Generalization Ability of Online Strongly Convex Programming Algorithms

Sham M. Kakade, Ambuj Tewari

Fitted Q-iteration by Advantage Weighted Regression

Gerhard Neumann, Jan R. Peters

Simple Local Models for Complex Dynamical Systems

Erik Talvitie, Satinder P. Singh

Nonlinear causal discovery with additive noise models

Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf

Non-stationary dynamic Bayesian networks

Joshua W. Robinson, Alexander J. Hartemink

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost

Hamed Masnadi-shirazi, Nuno Vasconcelos

Variational Mixture of Gaussian Process Experts

Chao Yuan, Claus Neubauer

Online Optimization in X-Armed Bandits

Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári, Rémi Munos

Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text

Yi Zhang, Artur Dubrawski, Jeff G. Schneider

Risk Bounds for Randomized Sample Compressed Classifiers

Mohak Shah

Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction

Shay B. Cohen, Kevin Gimpel, Noah A. Smith

Playing Pinball with non-invasive BCI

Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre

Partially Observed Maximum Entropy Discrimination Markov Networks

Jun Zhu, Eric P. Xing, Bo Zhang

Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM

Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada

Adaptive Template Matching with Shift-Invariant Semi-NMF

Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra

Learning a discriminative hidden part model for human action recognition

Yang Wang, Greg Mori

Improving on Expectation Propagation

Manfred Opper, Ulrich Paquet, Ole Winther

Global Ranking Using Continuous Conditional Random Fields

Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang, Hang Li

Interpreting the neural code with Formal Concept Analysis

Dominik Endres, Peter Foldiak

Self-organization using synaptic plasticity

Vicençc Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen

Implicit Mixtures of Restricted Boltzmann Machines

Vinod Nair, Geoffrey E. Hinton

Extended Grassmann Kernels for Subspace-Based Learning

Jihun Hamm, Daniel D. Lee

Unsupervised Learning of Visual Sense Models for Polysemous Words

Kate Saenko, Trevor Darrell

Non-parametric Regression Between Manifolds

Florian Steinke, Matthias Hein

Near-optimal Regret Bounds for Reinforcement Learning

Peter Auer, Thomas Jaksch, Ronald Ortner

Localized Sliced Inverse Regression

Qiang Wu, Sayan Mukherjee, Feng Liang

Goal-directed decision making in prefrontal cortex: a computational framework

Matthew Botvinick, James An

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets

Jean-philippe Pellet, André Elisseeff

Learning Taxonomies by Dependence Maximization

Matthew Blaschko, Arthur Gretton

Estimating Robust Query Models with Convex Optimization

Kevyn Collins-thompson

A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation

Richard S. Sutton, Hamid R. Maei, Csaba Szepesvári

Transfer Learning by Distribution Matching for Targeted Advertising

Steffen Bickel, Christoph Sawade, Tobias Scheffer

Nonrigid Structure from Motion in Trajectory Space

Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning

Massih R. Amini, Nicolas Usunier, François Laviolette

Reducing statistical dependencies in natural signals using radial Gaussianization

Siwei Lyu, Eero P. Simoncelli

Automatic online tuning for fast Gaussian summation

Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis

Sparsity of SVMs that use the epsilon-insensitive loss

Ingo Steinwart, Andreas Christmann

Sparse probabilistic projections

Cédric Archambeau, Francis R. Bach

Online Prediction on Large Diameter Graphs

Mark Herbster, Guy Lever, Massimiliano Pontil

A computational model of hippocampal function in trace conditioning

Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek, E. J. Kehoe

Multi-resolution Exploration in Continuous Spaces

Ali Nouri, Michael L. Littman

Spectral Hashing

Yair Weiss, Antonio Torralba, Rob Fergus

Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl

Juan Huo, Zhijun Yang, Alan F. Murray

Multi-label Multiple Kernel Learning

Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye

Characteristic Kernels on Groups and Semigroups

Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur

Psychiatry: Insights into depression through normative decision-making models

Quentin J. Huys, Joshua Vogelstein, Peter Dayan

Using matrices to model symbolic relationship

Ilya Sutskever, Geoffrey E. Hinton

On the Reliability of Clustering Stability in the Large Sample Regime

Ohad Shamir, Naftali Tishby

Estimation of Information Theoretic Measures for Continuous Random Variables

Fernando Pérez-Cruz

Model selection and velocity estimation using novel priors for motion patterns

Shuang Wu, Hongjing Lu, Alan L. Yuille

Overlaying classifiers: a practical approach for optimal ranking

Stéphan J. Clémençcon, Nicolas Vayatis

Temporal Dynamics of Cognitive Control

Jeremy Reynolds, Michael Mozer

Bayesian Experimental Design of Magnetic Resonance Imaging Sequences

Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf, Matthias Seeger

Optimal Response Initiation: Why Recent Experience Matters

Matt Jones, Sachiko Kinoshita, Michael Mozer

Natural Image Denoising with Convolutional Networks

Viren Jain, Sebastian Seung

Supervised Dictionary Learning

Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman, Francis R. Bach

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance

Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Biessmann, Bernhard Schölkopf

Structure Learning in Human Sequential Decision-Making

Daniel Acuna, Paul R. Schrater

Measures of Clustering Quality: A Working Set of Axioms for Clustering

Shai Ben-David, Margareta Ackerman

A spatially varying two-sample recombinant coalescent, with applications to HIV escape response

Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jon D. Mcauliffe

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data

Tran T. Truyen, Dinh Phung, Hung Bui, Svetha Venkatesh

Mind the Duality Gap: Logarithmic regret algorithms for online optimization

Shai Shalev-shwartz, Sham M. Kakade

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing

Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein

Continuously-adaptive discretization for message-passing algorithms

Michael Isard, John MacCormick, Kannan Achan

Dimensionality Reduction for Data in Multiple Feature Representations

Yen-yu Lin, Tyng-luh Liu, Chiou-shann Fuh

Regularized Policy Iteration

Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor, Csaba Szepesvári

Kernel Measures of Independence for non-iid Data

Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity

Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy

Tracking Changing Stimuli in Continuous Attractor Neural Networks

K. Wong, Si Wu, Chi Fung

Bayesian Synchronous Grammar Induction

Phil Blunsom, Trevor Cohn, Miles Osborne

Fast Rates for Regularized Objectives

Karthik Sridharan, Shai Shalev-shwartz, Nathan Srebro

Bayesian Network Score Approximation using a Metagraph Kernel

Benjamin Yackley, Eduardo Corona, Terran Lane

Online Metric Learning and Fast Similarity Search

Prateek Jain, Brian Kulis, Kristen Grauman, Inderjit S Dhillon, Inderjit S. Dhillon

Phase transitions for high-dimensional joint support recovery

Sahand Negahban, Martin J. Wainwright

Dynamic visual attention: searching for coding length increments

Xiaodi Hou, Liqing Zhang

An interior-point stochastic approximation method and an L1-regularized delta rule

Peter Carbonetto, Mark Schmidt, Nando D. Freitas

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

Load and Attentional Bayes

Peter Dayan

MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features

Tae-kyun Kim, Roberto Cipolla

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning

Francis R. Bach

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation

Indraneel Mukherjee, David M. Blei

Bounds on marginal probability distributions

Joris M. Mooij, Hilbert J. Kappen

Clusters and Coarse Partitions in LP Relaxations

David Sontag, Amir Globerson, Tommi S. Jaakkola

Modeling the effects of memory on human online sentence processing with particle filters

Roger P. Levy, Florencia Reali, Thomas L. Griffiths

Large Margin Taxonomy Embedding for Document Categorization

Kilian Q. Weinberger, Olivier Chapelle

Generative and Discriminative Learning with Unknown Labeling Bias

Steven J. Phillips, Miroslav Dudík

Short-Term Depression in VLSI Stochastic Synapse

Peng Xu, Timothy K. Horiuchi, Pamela A. Abshire

The Recurrent Temporal Restricted Boltzmann Machine

Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor

Dependent Dirichlet Process Spike Sorting

Jan Gasthaus, Frank Wood, Dilan Gorur, Yee W. Teh

Optimization on a Budget: A Reinforcement Learning Approach

Paul L. Ruvolo, Ian Fasel, Javier R. Movellan

Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement

Michael T. Todd, Yael Niv, Jonathan D. Cohen