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 | EE | Pedro F. Felzenszwalb,
David A. McAllester,
Deva Ramanan:
A discriminatively trained, multiscale, deformable part model.
CVPR 2008 |
88 | EE | 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 | EE | 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 | EE | Prahladh Harsha,
Rahul Jain,
David A. McAllester,
Jaikumar Radhakrishnan:
The Communication Complexity of Correlation.
IEEE Conference on Computational Complexity 2007: 10-23 |
85 | EE | Pedro F. Felzenszwalb,
David A. McAllester:
The Generalized A* Architecture.
J. Artif. Intell. Res. (JAIR) 29: 153-190 (2007) |
2006 |
84 | EE | Prahladh Harsha,
Rahul Jain,
David A. McAllester,
Jaikumar Radhakrishnan:
The communication complexity of correlation.
Electronic Colloquium on Computational Complexity (ECCC) 13(151): (2006) |
83 | EE | Matthias Blume,
David A. McAllester:
Sound and complete models of contracts.
J. Funct. Program. 16(4-5): 375-414 (2006) |
2005 |
82 | EE | Scott Sanner,
David A. McAllester:
Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference.
IJCAI 2005: 1384-1390 |
81 | EE | Yasemin Altun,
David A. McAllester,
Mikhail Belkin:
Margin Semi-Supervised Learning for Structured Variables.
NIPS 2005 |
2004 |
80 | EE | Matthias Blume,
David A. McAllester:
A sound (and complete) model of contracts.
ICFP 2004: 189-200 |
79 | EE | Peter L. Bartlett,
Michael Collins,
Benjamin Taskar,
David A. McAllester:
Exponentiated Gradient Algorithms for Large-margin Structured Classification.
NIPS 2004 |
78 | EE | David A. McAllester,
Michael Collins,
Fernando Pereira:
Case-Factor Diagrams for Structured Probabilistic Modeling.
UAI 2004: 382-391 |
77 | EE | John Langford,
David A. McAllester:
Computable Shell Decomposition Bounds.
Journal of Machine Learning Research 5: 529-547 (2004) |
2003 |
76 | EE | David A. McAllester:
Simplified PAC-Bayesian Margin Bounds.
COLT 2003: 203-215 |
75 | EE | David A. McAllester:
Joint RTA-TLCA Invited Talk: A Logical Algorithm for ML Type Inference.
RTA 2003: 436-451 |
74 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | David A. McAllester,
Luis E. Ortiz:
Concentration Inequalities for the Missing Mass and for Histogram Rule Error.
NIPS 2002: 351-358 |
67 | EE | Robert Givan,
David A. McAllester:
Polynomial-time computation via local inference relations.
ACM Trans. Comput. Log. 3(4): 521-541 (2002) |
66 | EE | Robert Givan,
David A. McAllester,
Carl Witty,
Dexter Kozen:
Tarskian Set Constraints.
Inf. Comput. 174(2): 105-131 (2002) |
65 | EE | David A. McAllester:
On the complexity analysis of static analyses.
J. ACM 49(4): 512-537 (2002) |
64 | EE | Yishay Mansour,
David A. McAllester:
Boosting Using Branching Programs.
J. Comput. Syst. Sci. 64(1): 103-112 (2002) |
2001 |
63 | EE | Peter Stone,
David A. McAllester:
An architecture for action selection in robotic soccer.
Agents 2001: 316-323 |
62 | EE | Harald Ganzinger,
David A. McAllester:
A New Meta-complexity Theorem for Bottom-Up Logic Programs.
IJCAR 2001: 514-528 |
61 | EE | Sanjoy Dasgupta,
Michael L. Littman,
David A. McAllester:
PAC Generalization Bounds for Co-training.
NIPS 2001: 375-382 |
60 | EE | 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 | EE | David A. McAllester:
Meta-complexity Theorems: Talk Abstract.
CP 2000: 13-17 |
53 | EE | William W. Cohen,
Henry A. Kautz,
David A. McAllester:
Hardening soft information sources.
KDD 2000: 255-259 |
52 | EE | David A. McAllester,
Peter Stone:
Keeping the Ball from CMUnited-99.
RoboCup 2000: 333-338 |
51 | EE | 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 | EE | 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 | EE | Steven P. Abney,
David A. McAllester,
Fernando Pereira:
Relating Probabilistic Grammars and Automata.
ACL 1999 |
47 | EE | David A. McAllester:
PAC-Bayesian Model Averaging.
COLT 1999: 164-170 |
46 | EE | David A. McAllester:
World-Modeling vs. World-Axiomatizing.
LPNMR 1999: 375-388 |
45 | EE | 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 | EE | Yishay Mansour,
David A. McAllester:
Boosting with Multi-Way Branching in Decision Trees.
NIPS 1999: 300-306 |
43 | EE | David A. McAllester:
On the Complexity Analysis of Static Analyses.
SAS 1999: 312-329 |
42 | EE | 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 | EE | 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 | EE | 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 | EE | David A. McAllester,
Robert Givan:
Taxonomic Syntax for First Order Inference.
J. ACM 40(2): 246-283 (1993) |
21 | EE | 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 |