NeurIPS 2007

217 papers

A general agnostic active learning algorithm

Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni

An in-silico Neural Model of Dynamic Routing through Neuronal Coherence

Devarajan Sridharan, Brian Percival, John Arthur, Kwabena A. Boahen

GRIFT: A graphical model for inferring visual classification features from human data

Michael Ross, Andrew Cohen

Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations

Amir Globerson, Tommi S. Jaakkola

A General Boosting Method and its Application to Learning Ranking Functions for Web Search

Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen

Configuration Estimates Improve Pedestrian Finding

Duan Tran, David A. Forsyth

Locality and low-dimensions in the prediction of natural experience from fMRI

Francois Meyer, Greg Stephens

Estimating disparity with confidence from energy neurons

Eric K. Tsang, Bertram E. Shi

Markov Chain Monte Carlo with People

Adam Sanborn, Thomas L. Griffiths

Efficient Bayesian Inference for Dynamically Changing Graphs

Ozgur Sumer, Umut Acar, Alexander T. Ihler, Ramgopal R. Mettu

Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks

Ben Carterette, Rosie Jones

Stability Bounds for Non-i.i.d. Processes

Mehryar Mohri, Afshin Rostamizadeh

Discovering Weakly-Interacting Factors in a Complex Stochastic Process

Charlie Frogner, Avi Pfeffer

Efficient multiple hyperparameter learning for log-linear models

Chuong B. Do, Andrew Y. Ng, Chuan Sheng Foo, Chuan-Sheng Foo

Subspace-Based Face Recognition in Analog VLSI

Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa

Modelling motion primitives and their timing in biologically executed movements

Ben Williams, Marc Toussaint, Amos J. Storkey

Sparse Overcomplete Latent Variable Decomposition of Counts Data

Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes

Nicolas Chapados, Yoshua Bengio

Variational Inference for Diffusion Processes

Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John S. Shawe-taylor

Cluster Stability for Finite Samples

Ohad Shamir, Naftali Tishby

A Bayesian LDA-based model for semi-supervised part-of-speech tagging

Kristina Toutanova, Mark Johnson

Learning the 2-D Topology of Images

Nicolas L. Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl

A Probabilistic Approach to Language Change

Alexandre Bouchard-côté, Percy Liang, Dan Klein, Thomas L. Griffiths

On Sparsity and Overcompleteness in Image Models

Pietro Berkes, Richard Turner, Maneesh Sahani

Modeling homophily and stochastic equivalence in symmetric relational data

Peter Hoff

Optimal ROC Curve for a Combination of Classifiers

Marco Barreno, Alvaro Cardenas, J. D. Tygar

Anytime Induction of Cost-sensitive Trees

Saher Esmeir, Shaul Markovitch

Expectation Maximization and Posterior Constraints

Kuzman Ganchev, Ben Taskar, João Gama

Variational inference for Markov jump processes

Manfred Opper, Guido Sanguinetti

Learning with Tree-Averaged Densities and Distributions

Sergey Kirshner

Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization

Xuanlong Nguyen, Martin J. Wainwright, Michael I. Jordan

Local Algorithms for Approximate Inference in Minor-Excluded Graphs

Kyomin Jung, Devavrat Shah

Predicting human gaze using low-level saliency combined with face detection

Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser, Christof Koch

Random Sampling of States in Dynamic Programming

Chris Atkeson, Benjamin Stephens

Computing Robust Counter-Strategies

Michael Johanson, Martin Zinkevich, Michael Bowling

Continuous Time Particle Filtering for fMRI

Lawrence Murray, Amos J. Storkey

A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections

Ping Li, Trevor J. Hastie

The Infinite Gamma-Poisson Feature Model

Michalis K. Titsias

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing

Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-Robert Müller

EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection

Pierre Ferrez, José Millán

Collective Inference on Markov Models for Modeling Bird Migration

M.a. S. Elmohamed, Dexter Kozen, Daniel R. Sheldon

Incremental Natural Actor-Critic Algorithms

Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee, Richard S. Sutton

Multi-Task Learning via Conic Programming

Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai

Multi-task Gaussian Process Prediction

Edwin V. Bonilla, Kian M. Chai, Christopher Williams

Congruence between model and human attention reveals unique signatures of critical visual events

Robert Peters, Laurent Itti

The Distribution Family of Similarity Distances

Gertjan Burghouts, Arnold Smeulders, Jan-mark Geusebroek

People Tracking with the Laplacian Eigenmaps Latent Variable Model

Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán

Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes

John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani

Ultrafast Monte Carlo for Statistical Summations

Michael P. Holmes, Alexander G. Gray, Charles L Isbell, Charles L. Isbell

Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis

Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson

Colored Maximum Variance Unfolding

Le Song, Arthur Gretton, Karsten Borgwardt, Alex J. Smola

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion

J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng

Statistical Analysis of Semi-Supervised Regression

Larry Wasserman, John D. Lafferty

The discriminant center-surround hypothesis for bottom-up saliency

Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos

A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses

Massimiliano Giulioni, Mario Pannunzi, Davide Badoni, Vittorio Dante, Paolo D. Giudice

Convex Relaxations of Latent Variable Training

Yuhong Guo, Dale Schuurmans

Second Order Bilinear Discriminant Analysis for single trial EEG analysis

Christoforos Christoforou, Paul Sajda, Lucas C. Parra

Sparse deep belief net model for visual area V2

Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng

Testing for Homogeneity with Kernel Fisher Discriminant Analysis

Moulines Eric, Francis R. Bach, Zaïd Harchaoui

Kernels on Attributed Pointsets with Applications

Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya, K. Ramakrishnan

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes

Geoffrey E. Hinton, Ruslan Salakhutdinov

The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information

John Langford, Tong Zhang

Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks

Alex Graves, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber, Santiago Fernández

Bayesian Inference for Spiking Neuron Models with a Sparsity Prior

Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke, Matthias Seeger

SpAM: Sparse Additive Models

Han Liu, Larry Wasserman, John D. Lafferty, Pradeep K Ravikumar, Pradeep K. Ravikumar

Learning Bounds for Domain Adaptation

John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman

Convex Clustering with Exemplar-Based Models

Danial Lashkari, Polina Golland

Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach

José M. Hernández-lobato, Tjeerd Dijkstra, Tom Heskes

Bayes-Adaptive POMDPs

Stephane Ross, Brahim Chaib-draa, Joelle Pineau

Temporal Difference Updating without a Learning Rate

Marcus Hutter, Shane Legg

Bayesian Policy Learning with Trans-Dimensional MCMC

Matthew Hoffman, Arnaud Doucet, Nando D. Freitas, Ajay Jasra

Kernel Measures of Conditional Dependence

Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf

Classification via Minimum Incremental Coding Length (MICL)

John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-yeung Shum

Competition Adds Complexity

Judy Goldsmith, Martin Mundhenk

On Ranking in Survival Analysis: Bounds on the Concordance Index

Harald Steck, Balaji Krishnapuram, Cary Dehing-oberije, Philippe Lambin, Vikas C. Raykar

Structured Learning with Approximate Inference

Alex Kulesza, Fernando Pereira

Better than least squares: comparison of objective functions for estimating linear-nonlinear models

Tatyana Sharpee

Distributed Inference for Latent Dirichlet Allocation

David Newman, Padhraic Smyth, Max Welling, Arthur U. Asuncion

Bayesian Agglomerative Clustering with Coalescents

Yee W. Teh, Hal Daume III, Daniel M. Roy

Neural characterization in partially observed populations of spiking neurons

Peter E. Latham, Jonathan W Pillow, Jonathan W. Pillow

New Outer Bounds on the Marginal Polytope

David Sontag, Tommi S. Jaakkola

Robust Regression with Twinned Gaussian Processes

Andrew Naish-guzman, Sean Holden

Receptive Fields without Spike-Triggering

Guenther Zeck, Matthias Bethge, Jakob H. Macke

Nearest-Neighbor-Based Active Learning for Rare Category Detection

Jingrui He, Jaime G. Carbonell

Catching Up Faster in Bayesian Model Selection and Model Averaging

Tim V. Erven, Steven D. Rooij, Peter Grünwald

Bundle Methods for Machine Learning

Alex J. Smola, S.v.n. Vishwanathan, Quoc V Le, Quoc V. Le

Adaptive Online Gradient Descent

Peter L. Bartlett, Elad Hazan, Alexander Rakhlin

DIFFRAC: a discriminative and flexible framework for clustering

Francis R. Bach, Zaïd Harchaoui

The Noisy-Logical Distribution and its Application to Causal Inference

Alan L. Yuille, Hongjing Lu

Convex Learning with Invariances

Choon H. Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing

Yuanhao Chen, Long Zhu, Chenxi Lin, Hongjiang Zhang, Alan L. Yuille

Hippocampal Contributions to Control: The Third Way

Máté Lengyel, Peter Dayan

Random Projections for Manifold Learning

Chinmay Hegde, Michael Wakin, Richard Baraniuk

How SVMs can estimate quantiles and the median

Andreas Christmann, Ingo Steinwart

Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition

Maryam Mahdaviani, Tanzeem Choudhury

Modeling Natural Sounds with Modulation Cascade Processes

Richard Turner, Maneesh Sahani

An online Hebbian learning rule that performs Independent Component Analysis

Claudia Clopath, André Longtin, Wulfram Gerstner

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi

Theoretical Analysis of Heuristic Search Methods for Online POMDPs

Stephane Ross, Joelle Pineau, Brahim Chaib-draa

Ensemble Clustering using Semidefinite Programming

Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu