| 2009 | ||
|---|---|---|
| 91 | Chunzhao Guo, Seiichi Mita, David A. McAllester: Stereovision-based road boundary detection for intelligent vehicles in challenging scenarios. IROS 2009: 1723-1728 | |
| 2008 | ||
| 90 | David A. McAllester, Petri Myllymäki: UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, July 9-12, 2008, Helsinki, Finland AUAI Press 2008 | |
| 89 | Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan: A discriminatively trained, multiscale, deformable part model. CVPR 2008 | |
| 88 | Hoang Trinh, David A. McAllester: Particle-Based Belief Propagation for Structure from Motion and Dense Stereo Vision with Unknown Camera Constraints. RobVis 2008: 16-28 | |
| 87 | David A. McAllester, Michael Collins, Fernando Pereira: Case-factor diagrams for structured probabilistic modeling. J. Comput. Syst. Sci. 74(1): 84-96 (2008) | |
| 2007 | ||
| 86 | Prahladh Harsha, Rahul Jain, David A. McAllester, Jaikumar Radhakrishnan: The Communication Complexity of Correlation. IEEE Conference on Computational Complexity 2007: 10-23 | |
| 85 | Pedro F. Felzenszwalb, David A. McAllester: The Generalized A* Architecture. J. Artif. Intell. Res. (JAIR) 29: 153-190 (2007) | |
| 2006 | ||
| 84 | Prahladh Harsha, Rahul Jain, David A. McAllester, Jaikumar Radhakrishnan: The communication complexity of correlation. Electronic Colloquium on Computational Complexity (ECCC) 13(151): (2006) | |
| 83 | Matthias Blume, David A. McAllester: Sound and complete models of contracts. J. Funct. Program. 16(4-5): 375-414 (2006) | |
| 2005 | ||
| 82 | Scott Sanner, David A. McAllester: Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference. IJCAI 2005: 1384-1390 | |
| 81 | Yasemin Altun, David A. McAllester, Mikhail Belkin: Margin Semi-Supervised Learning for Structured Variables. NIPS 2005 | |
| 2004 | ||
| 80 | Matthias Blume, David A. McAllester: A sound (and complete) model of contracts. ICFP 2004: 189-200 | |
| 79 | Peter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester: Exponentiated Gradient Algorithms for Large-margin Structured Classification. NIPS 2004 | |
| 78 | David A. McAllester, Michael Collins, Fernando Pereira: Case-Factor Diagrams for Structured Probabilistic Modeling. UAI 2004: 382-391 | |
| 77 | John Langford, David A. McAllester: Computable Shell Decomposition Bounds. Journal of Machine Learning Research 5: 529-547 (2004) | |
| 2003 | ||
| 76 | David A. McAllester: Simplified PAC-Bayesian Margin Bounds. COLT 2003: 203-215 | |
| 75 | David A. McAllester: Joint RTA-TLCA Invited Talk: A Logical Algorithm for ML Type Inference. RTA 2003: 436-451 | |
| 74 | Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, David A. McAllester: Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions. J. Artif. Intell. Res. (JAIR) 19: 209-242 (2003) | |
| 73 | David A. McAllester, Luis E. Ortiz: Concentration Inequalities for the Missing Mass and for Histogram Rule Error. Journal of Machine Learning Research 4: 895-911 (2003) | |
| 72 | David A. McAllester: PAC-Bayesian Stochastic Model Selection. Machine Learning 51(1): 5-21 (2003) | |
| 2002 | ||
| 71 | Peter Stone, Robert E. Schapire, János A. Csirik, Michael L. Littman, David A. McAllester: ATTac-2001: A Learning, Autonomous Bidding Agent. AMEC 2002: 143-160 | |
| 70 | Harald Ganzinger, David A. McAllester: Logical Algorithms. ICLP 2002: 209-223 | |
| 69 | Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik: Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. ICML 2002: 546-553 | |
| 68 | David A. McAllester, Luis E. Ortiz: Concentration Inequalities for the Missing Mass and for Histogram Rule Error. NIPS 2002: 351-358 | |
| 67 | Robert Givan, David A. McAllester: Polynomial-time computation via local inference relations. ACM Trans. Comput. Log. 3(4): 521-541 (2002) | |
| 66 | Robert Givan, David A. McAllester, Carl Witty, Dexter Kozen: Tarskian Set Constraints. Inf. Comput. 174(2): 105-131 (2002) | |
| 65 | David A. McAllester: On the complexity analysis of static analyses. J. ACM 49(4): 512-537 (2002) | |
| 64 | Yishay Mansour, David A. McAllester: Boosting Using Branching Programs. J. Comput. Syst. Sci. 64(1): 103-112 (2002) | |
| 2001 | ||
| 63 | Peter Stone, David A. McAllester: An architecture for action selection in robotic soccer. Agents 2001: 316-323 | |
| 62 | Harald Ganzinger, David A. McAllester: A New Meta-complexity Theorem for Bottom-Up Logic Programs. IJCAR 2001: 514-528 | |
| 61 | Sanjoy Dasgupta, Michael L. Littman, David A. McAllester: PAC Generalization Bounds for Co-training. NIPS 2001: 375-382 | |
| 60 | Andrew W. Appel, David A. McAllester: An indexed model of recursive types for foundational proof-carrying code. ACM Trans. Program. Lang. Syst. 23(5): 657-683 (2001) | |
| 2000 | ||
| 59 | David A. McAllester: Automated Deduction - CADE-17, 17th International Conference on Automated Deduction, Pittsburgh, PA, USA, June 17-20, 2000, Proceedings Springer 2000 | |
| 58 | David A. McAllester, Robert E. Schapire: On the Convergence Rate of Good-Turing Estimators. COLT 2000: 1-6 | |
| 57 | Yishay Mansour, David A. McAllester: Boosting Using Branching Programs. COLT 2000: 220-224 | |
| 56 | John Langford, David A. McAllester: Computable Shell Decomposition Bounds. COLT 2000: 25-34 | |
| 55 | Yishay Mansour, David A. McAllester: Generalization Bounds for Decision Trees. COLT 2000: 69-74 | |
| 54 | David A. McAllester: Meta-complexity Theorems: Talk Abstract. CP 2000: 13-17 | |
| 53 | William W. Cohen, Henry A. Kautz, David A. McAllester: Hardening soft information sources. KDD 2000: 255-259 | |
| 52 | David A. McAllester, Peter Stone: Keeping the Ball from CMUnited-99. RoboCup 2000: 333-338 | |
| 51 | Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso: ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. RoboCup 2000: 489-492 | |
| 50 | Robert Givan, David A. McAllester: Polynomial-time Computation via Local Inference Relations CoRR cs.LO/0007020: (2000) | |
| 1999 | ||
| 49 | Harald Ganzinger, David A. McAllester, Andrei Voronkov: Logic Programming and Automated Reasoning, 6th International Conference, LPAR'99, Tbilisi, Georgia, September 6-10, 1999, Proceedings Springer 1999 | |
| 48 | Steven P. Abney, David A. McAllester, Fernando Pereira: Relating Probabilistic Grammars and Automata. ACL 1999 | |
| 47 | David A. McAllester: PAC-Bayesian Model Averaging. COLT 1999: 164-170 | |
| 46 | David A. McAllester: World-Modeling vs. World-Axiomatizing. LPNMR 1999: 375-388 | |
| 45 | Richard S. Sutton, David A. McAllester, Satinder P. Singh, Yishay Mansour: Policy Gradient Methods for Reinforcement Learning with Function Approximation. NIPS 1999: 1057-1063 | |
| 44 | Yishay Mansour, David A. McAllester: Boosting with Multi-Way Branching in Decision Trees. NIPS 1999: 300-306 | |
| 43 | David A. McAllester: On the Complexity Analysis of Static Analyses. SAS 1999: 312-329 | |
| 42 | David A. McAllester, Satinder P. Singh: Approximate Planning for Factored POMDPs using Belief State Simplification. UAI 1999: 409-416 | |
| 41 | David A. McAllester: Some PAC-Bayesian Theorems. Machine Learning 37(3): 355-363 (1999) | |
| 1998 | ||
| 40 | David A. McAllester: Some PAC-Bayesian Theorems. COLT 1998: 230-234 | |
| 39 | Witold Charatonik, David A. McAllester, Damian Niwinski, Andreas Podelski, Igor Walukiewicz: The Horn Mu-calculus. LICS 1998: 58-69 | |
| 1997 | ||
| 38 | David A. McAllester, Bart Selman, Henry A. Kautz: Evidence for Invariants in Local Search. AAAI/IAAI 1997: 321-326 | |
| 37 | Daphne Koller, David A. McAllester, Avi Pfeffer: Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI 1997: 740-747 | |
| 36 | Nevin Heintze, David A. McAllester: On the Complexity of Set-Based Analysis. ICFP 1997: 150-163 | |
| 35 | Bart Selman, Henry A. Kautz, David A. McAllester: Ten Challenges in Propositional Reasoning and Search. IJCAI (1) 1997: 50-54 | |
| 34 | Nevin Heintze, David A. McAllester: On the Cubic Bottleneck in Subtyping and Flow Analysis. LICS 1997: 342-351 | |
| 33 | Nevin Heintze, David A. McAllester: Linear-time Subtransitive Control Flow Analysis. PLDI 1997: 261-272 | |
| 1996 | ||
| 32 | David A. McAllester, Kostas Arkoudas: Walther Recursion. CADE 1996: 643-657 | |
| 31 | Henry A. Kautz, David A. McAllester, Bart Selman: Encoding Plans in Propositional Logic. KR 1996: 374-384 | |
| 30 | David A. McAllester, Robert Givan, Carl Witty, Dexter Kozen: Tarskian Set Constraints. LICS 1996: 138-147 | |
| 29 | David A. McAllester: The Rise of Nonlinear Mathematical Programming. ACM Comput. Surv. 28(4es): 68 (1996) | |
| 1995 | ||
| 28 | David A. McAllester, J. Kucan, D. F. Otth: A Proof of Strong Normalization of F_2, F_omega and Beyond Inf. Comput. 121(2): 193-200 (1995) | |
| 1994 | ||
| 27 | Matthew L. Ginsberg, David A. McAllester: GSAT and Dynamic Backtracking. KR 1994: 226-237 | |
| 26 | Matthew L. Ginsberg, David A. McAllester: GSAT and Dynamic Backtracking. PPCP 1994: 243-265 | |
| 25 | Frédéric Benhamou, David A. McAllester, Pascal Van Hentenryck: CLP(Intervals) Revisited. SLP 1994: 124-138 | |
| 1993 | ||
| 24 | Jeffrey Mark Siskind, David A. McAllester: Nondeterministic Lisp as a Substrate for Constraint Logic Programming. AAAI 1993: 133-138 | |
| 23 | David A. McAllester: Bottom Up Logic Programming as an Inference Tool. ICTAI 1993: 8 | |
| 22 | David A. McAllester, Robert Givan: Taxonomic Syntax for First Order Inference. J. ACM 40(2): 246-283 (1993) | |
| 21 | David A. McAllester: Automatic Recognition of Tractability in Inference Relations. J. ACM 40(2): 284-303 (1993) | |
| 20 | David A. McAllester, Prakash Panangaden, Vasant Shanbhogue: Nonexpressibility of Fairness and Signaling. J. Comput. Syst. Sci. 47(2): 287-321 (1993) | |
| 19 | Hai-Ping Ko, David A. McAllester, Mark E. Nadel: Lower Bounds for the Lengths of Refutations. J. Log. Program. 17(1): 31-58 (1993) | |
| 1992 | ||
| 18 | David A. McAllester: Grammar Rewriting. CADE 1992: 124-138 | |
| 17 | Robert Givan, David A. McAllester: New Results on Local Inference Relations. KR 1992: 403-412 | |
| 16 | David A. McAllester, Robert Givan: Natural Language Syntax and First-Order Inference. Artif. Intell. 56(1): 1-20 (1992) | |
| 1991 | ||
| 15 | David A. McAllester, David Rosenblitt: Systematic Nonlinear Planning. AAAI 1991: 634-639 | |
| 14 | David A. McAllester: Observations on Cognitive Judgments. AAAI 1991: 910-914 | |
| 13 | Robert Givan, David A. McAllester, Sameer Shalaby: Natural Language Based Inference Procedures Applied to Schubert's Steamroller. AAAI 1991: 915-920 | |
| 12 | David A. McAllester: Socratic Sequent Systems. SIGART Bulletin 2(3): 98-100 (1991) | |
| 1990 | ||
| 11 | David A. McAllester: Truth Maintenance. AAAI 1990: 1109-1116 | |
| 1989 | ||
| 10 | David A. McAllester, Robert Givan, Tanveer Fatima: Taxonomic Syntax for First Order Inference. KR 1989: 289-300 | |
| 1988 | ||
| 9 | Ramin Zabih, David A. McAllester: A Rearrangement Search Strategy for Determining Propositional Satisfiability. AAAI 1988: 155-160 | |
| 8 | David A. McAllester: Ontic: A Knowledge Representation System for Mathematics. CADE 1988: 742-743 | |
| 7 | David A. McAllester, Prakash Panangaden, Vasant Shanbhogue: Nonexpressibility of Fairness and Signaling FOCS 1988: 377-386 | |
| 6 | Charles Elkan, David A. McAllester: Automated Inductive Reasoning about Logic Programs. ICLP/SLP 1988: 876-892 | |
| 5 | David A. McAllester: Conspiracy Numbers for Min-Max Search. Artif. Intell. 35(3): 287-310 (1988) | |
| 1987 | ||
| 4 | Ramin Zabih, David A. McAllester, David Chapman: Non-Deterministic Lisp with Dependency-directed Backtracking. AAAI 1987: 59-65 | |
| 1986 | ||
| 3 | David A. McAllester, Ramin Zabih: Boolean Classes. OOPSLA 1986: 417-423 | |
| 1984 | ||
| 2 | Joseph Y. Halpern, David A. McAllester: Likelihood, Probability, and Knowledge. AAAI 1984: 137-141 | |
| 1981 | ||
| 1 | David A. McAllester: Algebraic Approximations. IJCAI 1981: 1024-1026 | |