McAllester, David A.

44 publications

ECCV 2014 Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun

ECCV 2012 Continuous Markov Random Fields for Robust Stereo Estimation Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun

ICML 2011 Convex Max-Product over Compact Sets for Protein Folding Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun

NeurIPS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss Joseph Keshet, David A. McAllester

NeurIPS 2011 Object Detection with Grammar Models Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester

CVPR 2010 Cascade Object Detection with Deformable Part Models Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester

NeurIPS 2010 Direct Loss Minimization for Structured Prediction Tamir Hazan, Joseph Keshet, David A. McAllester

ICML 2010 Discriminative Latent Variable Models for Object Detection Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan

CVPRW 2010 Structure and Motion from Road-Driving Stereo Sequences Hoang Trinh, David A. McAllester

CVPR 2008 A Discriminatively Trained, Multiscale, Deformable Part Model Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan

UAI 2008 UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008 David A. McAllester, Petri Myllymäki

JAIR 2007 The Generalized A* Architecture Pedro F. Felzenszwalb, David A. McAllester

CVPRW 2006 A Min-Cover Approach for Finding Salient Curves Pedro F. Felzenszwalb, David A. McAllester

IJCAI 2005 Affine Algebraic Decision Diagrams (AADDs) and Their Application to Structured Probabilistic Inference Scott Sanner, David A. McAllester

UAI 2004 Case-Factor Diagrams for Structured Probabilistic Modeling David A. McAllester, Michael Collins, Fernando Pereira

NeurIPS 2004 Exponentiated Gradient Algorithms for Large-Margin Structured Classification Peter L. Bartlett, Michael Collins, Ben Taskar, David A. McAllester

JAIR 2003 Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, David A. McAllester

MLJ 2003 PAC-Bayesian Stochastic Model Selection David A. McAllester

COLT 2003 Simplified PAC-Bayesian Margin Bounds David A. McAllester

NeurIPS 2002 Concentration Inequalities for the Missing Mass and for Histogram Rule Error Luis E. Ortiz, David A. McAllester

ICML 2002 Modeling Auction Price Uncertainty Using Boosting-Based Conditional Density Estimation Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik

NeurIPS 2001 PAC Generalization Bounds for Co-Training Sanjoy Dasgupta, Michael L. Littman, David A. McAllester

COLT 2000 Boosting Using Branching Programs Yishay Mansour, David A. McAllester

COLT 2000 Computable Shell Decomposition Bounds John Langford, David A. McAllester

COLT 2000 Generalization Bounds for Decision Trees Yishay Mansour, David A. McAllester

COLT 2000 On the Convergence Rate of Good-Turing Estimators David A. McAllester, Robert E. Schapire

UAI 1999 Approximate Planning for Factored POMDPs Using Belief State Simplification David A. McAllester, Satinder Singh

NeurIPS 1999 Boosting with Multi-Way Branching in Decision Trees Yishay Mansour, David A. McAllester

COLT 1999 PAC-Bayesian Model Averaging David A. McAllester

NeurIPS 1999 Policy Gradient Methods for Reinforcement Learning with Function Approximation Richard S. Sutton, David A. McAllester, Satinder P. Singh, Yishay Mansour

MLJ 1999 Some PAC-Bayesian Theorems David A. McAllester

COLT 1998 Some PAC-Bayesian Theorems David A. McAllester

AAAI 1997 Effective Bayesian Inference for Stochastic Programs Daphne Koller, David A. McAllester, Avi Pfeffer

AAAI 1997 Evidence for Invariants in Local Search David A. McAllester, Bart Selman, Henry A. Kautz

IJCAI 1997 Ten Challenges in Propositional Reasoning and Search Bart Selman, Henry A. Kautz, David A. McAllester

AAAI 1993 Nondeterministic Lisp as a Substrate for Constraint Logic Programming Jeffrey Mark Siskind, David A. McAllester

AAAI 1991 Natural Language Based Inference Procedures Applied to Schubert's Steamroller Robert Givan, David A. McAllester, Sameer Shalaby

AAAI 1991 Observations on Cognitive Judgments David A. McAllester

AAAI 1991 Systematic Nonlinear Planning David A. McAllester, David Rosenblitt

AAAI 1990 Truth Maintenance David A. McAllester

AAAI 1988 A Rearrangement Search Strategy for Determining Propositional Satisfiability Ramin Zabih, David A. McAllester

AAAI 1987 Non-Deterministic Lisp with Dependency-Directed Backtracking Ramin Zabih, David A. McAllester, David Chapman

AAAI 1984 Likelihood, Probability, and Knowledge Joseph Y. Halpern, David A. McAllester

IJCAI 1981 Algebraic Approximations David A. McAllester