NeurIPS 2008

250 papers

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice

Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung

Kernelized Sorting

Novi Quadrianto, Le Song, Alex J. Smola

Improved Moves for Truncated Convex Models

Philip Torr, M. P. Kumar

Skill Characterization Based on Betweenness

Ozgur Simsek, Andrew G. Barto

Bayesian Model of Behaviour in Economic Games

Debajyoti Ray, Brooks King-casas, P. R. Montague, Peter Dayan

Sparse Online Learning via Truncated Gradient

John Langford, Lihong Li, Tong Zhang

An Extended Level Method for Efficient Multiple Kernel Learning

Zenglin Xu, Rong Jin, Irwin King, Michael Lyu

Bayesian Kernel Shaping for Learning Control

Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal

Relative Margin Machines

Tony Jebara, Pannagadatta K. Shivaswamy

Robust Kernel Principal Component Analysis

Minh H. Nguyen, Fernando Torre

Artificial Olfactory Brain for Mixture Identification

Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta, Thomas Nowotny, Nikolai Rulkov

Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms

John W. Roberts, Russ Tedrake

A general framework for investigating how far the decoding process in the brain can be simplified

Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya, Masato Okada

Syntactic Topic Models

Jordan L. Boyd-graber, David M. Blei

Learning with Consistency between Inductive Functions and Kernels

Haixuan Yang, Irwin King, Michael Lyu

Characterizing neural dependencies with copula models

Pietro Berkes, Frank Wood, Jonathan W Pillow, Jonathan W. Pillow

Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform

Guangzhi Cao, Charles Bouman

Shape-Based Object Localization for Descriptive Classification

Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller

Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes

Erik B. Sudderth, Michael I. Jordan

Mixed Membership Stochastic Blockmodels

Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing

Deflation Methods for Sparse PCA

Lester W. Mackey

Efficient Exact Inference in Planar Ising Models

Nicol N. Schraudolph, Dmitry Kamenetsky

Privacy-preserving logistic regression

Kamalika Chaudhuri, Claire Monteleoni

Resolution Limits of Sparse Coding in High Dimensions

Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher

Empirical performance maximization for linear rank statistics

Stéphan J. Clémençcon, Nicolas Vayatis

An ideal observer model of infant object perception

Charles Kemp, Fei Xu

A rational model of preference learning and choice prediction by children

Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett

Rademacher Complexity Bounds for Non-I.I.D. Processes

Mehryar Mohri, Afshin Rostamizadeh

Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing

Moritz Grosse-wentrup

DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification

Simon Lacoste-Julien, Fei Sha, Michael I. Jordan

Adapting to a Market Shock: Optimal Sequential Market-Making

Sanmay Das, Malik Magdon-Ismail

Mortal Multi-Armed Bandits

Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal

Policy Search for Motor Primitives in Robotics

Jens Kober, Jan R. Peters

Theory of matching pursuit

Zakria Hussain, John S. Shawe-taylor

Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking

Nir Ailon

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models

Tong Zhang

A Convex Upper Bound on the Log-Partition Function for Binary Distributions

Laurent E. Ghaoui, Assane Gueye

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm

Andrew Smith, Hongyuan Zha, Xiao-ming Wu

High-dimensional support union recovery in multivariate regression

Guillaume R. Obozinski, Martin J. Wainwright, Michael I. Jordan

Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons

Adam Ponzi, Jeff Wickens

Predicting the Geometry of Metal Binding Sites from Protein Sequence

Paolo Frasconi, Andrea Passerini

Recursive Segmentation and Recognition Templates for 2D Parsing

Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille

Nonparametric regression and classification with joint sparsity constraints

Han Liu, Larry Wasserman, John D. Lafferty

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification

Doug Downey, Oren Etzioni

Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree

Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison

Multi-Agent Filtering with Infinitely Nested Beliefs

Luke Zettlemoyer, Brian Milch, Leslie P. Kaelbling

Tighter Bounds for Structured Estimation

Olivier Chapelle, Chuong B. Do, Choon H. Teo, Alex J. Smola, Quoc V Le

Regularized Co-Clustering with Dual Supervision

Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic

The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction

Fabian H. Sinz, Matthias Bethge

Exact Convex Confidence-Weighted Learning

Koby Crammer, Mark Dredze, Fernando Pereira

Fast Prediction on a Tree

Mark Herbster, Massimiliano Pontil, Sergio R. Galeano

Robust Near-Isometric Matching via Structured Learning of Graphical Models

Alex J. Smola, Julian J. Mcauley, Tibério S. Caetano

Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks

Alex Graves, Jürgen Schmidhuber

Bounding Performance Loss in Approximate MDP Homomorphisms

Jonathan Taylor, Doina Precup, Prakash Panagaden

An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering

Dilan Gorur, Yee W. Teh

Using Bayesian Dynamical Systems for Motion Template Libraries

Silvia Chiappa, Jens Kober, Jan R. Peters

Diffeomorphic Dimensionality Reduction

Christian Walder, Bernhard Schölkopf

How memory biases affect information transmission: A rational analysis of serial reproduction

Jing Xu, Thomas L. Griffiths

Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning

Carmen Sandi, Wulfram Gerstner, Gediminas Lukšys

Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE

Garvesh Raskutti, Bin Yu, Martin J. Wainwright, Pradeep K Ravikumar, Pradeep K. Ravikumar

Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control

Lavi Shpigelman, Hagai Lalazar, Eilon Vaadia

PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning

Chunhua Shen, Alan Welsh, Lei Wang

Sequential effects: Superstition or rational behavior?

Angela J. Yu, Jonathan D. Cohen

Bayesian Exponential Family PCA

Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization

Sham M. Kakade, Karthik Sridharan, Ambuj Tewari

An Online Algorithm for Maximizing Submodular Functions

Matthew Streeter, Daniel Golovin

Efficient Sampling for Gaussian Process Inference using Control Variables

Neil D. Lawrence, Magnus Rattray, Michalis K. Titsias

Learning Hybrid Models for Image Annotation with Partially Labeled Data

Xuming He, Richard S. Zemel

MAS: a multiplicative approximation scheme for probabilistic inference

Ydo Wexler, Christopher Meek

Multi-Level Active Prediction of Useful Image Annotations for Recognition

Sudheendra Vijayanarasimhan, Kristen Grauman

Gates

Tom Minka, John Winn

On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor

Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite, Florentin Wörgötter

Algorithms for Infinitely Many-Armed Bandits

Yizao Wang, Jean-yves Audibert, Rémi Munos

Particle Filter-based Policy Gradient in POMDPs

Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos

Generative versus discriminative training of RBMs for classification of fMRI images

Tanya Schmah, Geoffrey E. Hinton, Steven L. Small, Stephen Strother, Richard S. Zemel

Support Vector Machines with a Reject Option

Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

ICA based on a Smooth Estimation of the Differential Entropy

Lev Faivishevsky, Jacob Goldberger

Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method

Dongryeol Lee, Alexander G. Gray

Adaptive Martingale Boosting

Phil Long, Rocco Servedio

An Homotopy Algorithm for the Lasso with Online Observations

Pierre Garrigues, Laurent E. Ghaoui

A mixture model for the evolution of gene expression in non-homogeneous datasets

Gerald Quon, Yee W. Teh, Esther Chan, Timothy Hughes, Michael Brudno

Integrating Locally Learned Causal Structures with Overlapping Variables

David Danks, Clark Glymour, Robert E. Tillman

Cyclizing Clusters via Zeta Function of a Graph

Deli Zhao, Xiaoou Tang

The Gaussian Process Density Sampler

Iain Murray, David MacKay, Ryan P. Adams

Characterizing response behavior in multisensory perception with conflicting cues

Rama Natarajan, Iain Murray, Ladan Shams, Richard S. Zemel

A Massively Parallel Digital Learning Processor

Hans P. Graf, Srihari Cadambi, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto

QUIC-SVD: Fast SVD Using Cosine Trees

Michael P. Holmes, Jr. Isbell, Charles Lee, Alexander G. Gray

On Bootstrapping the ROC Curve

Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis

Learning Transformational Invariants from Natural Movies

Charles Cadieu, Bruno A. Olshausen

Deep Learning with Kernel Regularization for Visual Recognition

Kai Yu, Wei Xu, Yihong Gong

The Infinite Hierarchical Factor Regression Model

Piyush Rai, Hal Daume

An improved estimator of Variance Explained in the presence of noise

Ralf M. Haefner, Bruce G. Cumming

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models

Liang Zhang, Deepak Agarwal

Spike Feature Extraction Using Informative Samples

Zhi Yang, Qi Zhao, Wentai Liu

Clustering via LP-based Stabilities

Nikos Komodakis, Nikos Paragios, Georgios Tziritas

Sparse Signal Recovery Using Markov Random Fields

Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard Baraniuk

The Infinite Factorial Hidden Markov Model

Jurgen V. Gael, Yee W. Teh, Zoubin Ghahramani

Yik-cheung Tam, Tanja Schultz

Hierarchical Fisher Kernels for Longitudinal Data

Zhengdong Lu, Jeffrey Kaye, Todd K. Leen