| 2019 | CoNLL | Evidence Sentence Extraction for Machine Reading Comprehension. | Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth |
| 2017 | EACL | Broad Context Language Modeling as Reading Comprehension. | Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester |
| 2016 | EMNLP | Who did What: A Large-Scale Person-Centered Cloze Dataset. | Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2015 | ACL | Machine Comprehension with Syntax, Frames, and Semantics. | Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2014 | ECCV | Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. | Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun |
| 2013 | CVPR | Robust Monocular Epipolar Flow Estimation. | Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun |
| 2012 | ECCV | Continuous Markov Random Fields for Robust Stereo Estimation. | Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2011 | ICASSP | PAC-Bayesian approach for minimization of phoneme error rate. | Joseph Keshet, David A. McAllester, Tamir Hazan |
| 2011 | ICML | Convex Max-Product over Compact Sets for Protein Folding. | Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2011 | ICRA | Adaptive non-planar road detection and tracking in challenging environments using segmentation-based Markov Random Field. | Chunzhao Guo, Seiichi Mita, David A. McAllester |
| 2011 | Interspeech | Direct Error Rate Minimization of Hidden Markov Models. | Joseph Keshet, Chih-Chieh Cheng, Mark Stoehr, David A. McAllester |
| 2011 | IROS | Vehicle detection and tracking at nighttime for urban autonomous driving. | Hossein Tehrani Niknejad, Koji Takahashi, Seiichi Mita, David A. McAllester |
| 2010 | CVPR | Cascade object detection with deformable part models. | Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester |
| 2010 | CVPR | Structure and motion from road-driving stereo sequences. | Hoang Trinh, David A. McAllester |
| 2010 | ICML | Discriminative Latent Variable Models for Object Detection. | Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan |
| 2010 | IROS | Lane detection and tracking in challenging environments based on a weighted graph and integrated cues. | Chunzhao Guo, Seiichi Mita, David A. McAllester |
| 2009 | BMVC | Unsupervised Learning of Stereo Vision with Monocular Depth Cues. | Hoang Trinh, David A. McAllester |
| 2009 | IROS | Stereovision-based road boundary detection for intelligent vehicles in challenging scenarios. | Chunzhao Guo, Seiichi Mita, David A. McAllester |
| 2008 | CVPR | A discriminatively trained, multiscale, deformable part model. | Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan |
| 2006 | CVPR | A Min-Cover Approach for Finding Salient Curves. | Pedro F. Felzenszwalb, David A. McAllester |
| 2005 | IJCAI | Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference. | Scott Sanner, David A. McAllester |
| 2004 | ICFP | A sound (and complete) model of contracts. | Matthias Blume, David A. McAllester |
| 2004 | UAI | Case-Factor Diagrams for Structured Probabilistic Modeling. | David A. McAllester, Michael Collins, Fernando Pereira |
| 2003 | COLT | Simplified PAC-Bayesian Margin Bounds. | David A. McAllester |
| 2002 | ICLP | Logical Algorithms. | Harald Ganzinger, David A. McAllester |
| 2002 | ICML | Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. | Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, Jnos A. Csirik |
| 2001 | CADE | A New Meta-complexity Theorem for Bottom-Up Logic Programs. | Harald Ganzinger, David A. McAllester |
| 2000 | COLT | Computable Shell Decomposition Bounds. | John Langford, David A. McAllester |
| 2000 | COLT | Generalization Bounds for Decision Trees. | Yishay Mansour, David A. McAllester |
| 2000 | COLT | Boosting Using Branching Programs. | Yishay Mansour, David A. McAllester |
| 2000 | COLT | On the Convergence Rate of Good-Turing Estimators. | David A. McAllester, Robert E. Schapire |
| 2000 | CP | Meta-complexity Theorems: Talk Abstract. | David A. McAllester |
| 2000 | KDD | Hardening soft information sources. | William W. Cohen, Henry A. Kautz, David A. McAllester |
| 2000 | RoboCup | Keeping the Ball from CMUnited-99. | David A. McAllester, Peter Stone |
| 2000 | RoboCup | ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. | Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso |
| 1999 | ACL | Relating Probabilistic Grammars and Automata. | Steven P. Abney, David A. McAllester, Fernando Pereira |
| 1999 | COLT | PAC-Bayesian Model Averaging. | David A. McAllester |
| 1999 | LPNMR | World-Modeling vs. World-Axiomatizing. | David A. McAllester |
| 1999 | UAI | Approximate Planning for Factored POMDPs using Belief State Simplification. | David A. McAllester, Satinder Singh |
| 1999 | SAS | On the Complexity Analysis of Static Analyses. | David A. McAllester |
| 1998 | COLT | Some PAC-Bayesian Theorems. | David A. McAllester |
| 1998 | LICS | The Horn Mu-calculus. | Witold Charatonik, David A. McAllester, Damian Niwinski, Andreas Podelski, Igor Walukiewicz |
| 1997 | AAAI | Effective Bayesian Inference for Stochastic Programs. | Daphne Koller, David A. McAllester, Avi Pfeffer |
| 1997 | AAAI | Evidence for Invariants in Local Search. | David A. McAllester, Bart Selman, Henry A. Kautz |
| 1997 | ICFP | On the Complexity of Set-Based Analysis. | Nevin Heintze, David A. McAllester |
| 1997 | IJCAI | Ten Challenges in Propositional Reasoning and Search. | Bart Selman, Henry A. Kautz, David A. McAllester |
| 1997 | LICS | On the Cubic Bottleneck in Subtyping and Flow Analysis. | Nevin Heintze, David A. McAllester |
| 1997 | PLDI | Linear-time Subtransitive Control Flow Analysis. | Nevin Heintze, David A. McAllester |
| 1996 | CADE | Walther Recursion. | David A. McAllester, Kostas Arkoudas |
| 1996 | KR | Encoding Plans in Propositional Logic. | Henry A. Kautz, David A. McAllester, Bart Selman |
| 1996 | LICS | Tarskian Set Constraints. | David A. McAllester, Robert Givan, Carl Witty, Dexter Kozen |
| 1994 | KR | GSAT and Dynamic Backtracking. | Matthew L. Ginsberg, David A. McAllester |
| 1993 | AAAI | Nondeterministic Lisp as a Substrate for Constraint Logic Programming. | Jeffrey Mark Siskind, David A. McAllester |
| 1993 | ICTAI | Bottom Up Logic Programming as an Inference Tool. | David A. McAllester |
| 1992 | CADE | Grammar Rewriting. | David A. McAllester |
| 1992 | KR | New Results on Local Inference Relations. | Robert Givan, David A. McAllester |
| 1991 | AAAI | Natural Language Based Inference Procedures Applied to Schubert's Steamroller. | Robert Givan, David A. McAllester, Sameer Shalaby |
| 1991 | AAAI | Observations on Cognitive Judgments. | David A. McAllester |
| 1991 | AAAI | Systematic Nonlinear Planning. | David A. McAllester, David Rosenblitt |
| 1990 | AAAI | Truth Maintenance. | David A. McAllester |
| 1989 | KR | Taxonomic Syntax for First Order Inference. | David A. McAllester, Robert Givan, Tanveer Fatima |
| 1988 | AAAI | A Rearrangement Search Strategy for Determining Propositional Satisfiability. | Ramin Zabih, David A. McAllester |
| 1988 | CADE | Ontic: A Knowledge Representation System for Mathematics. | David A. McAllester |
| 1988 | FOCS | Nonexpressibility of Fairness and Signaling | David A. McAllester, Prakash Panangaden, Vasant Shanbhogue |
| 1988 | ICLP | Automated Inductive Reasoning about Logic Programs. | Charles Elkan, David A. McAllester |
| 1987 | AAAI | Non-Deterministic Lisp with Dependency-directed Backtracking. | Ramin Zabih, David A. McAllester, David Chapman |
| 1986 | OOPSLA | Boolean Classes. | David A. McAllester, Ramin Zabih |
| 1984 | AAAI | Likelihood, Probability, and Knowledge. | Joseph Y. Halpern, David A. McAllester |
| 1981 | IJCAI | Algebraic Approximations. | David A. McAllester |