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David McAllester
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Object detection with discriminatively trained part-based models
PF Felzenszwalb, RB Girshick, D McAllester, D Ramanan
IEEE transactions on pattern analysis and machine intelligence 32 (9), 1627-1645, 2009
131782009
Policy Gradient Methods for Reinforcement Learning with Function Approximation
YM RS Sutton, D McAllester, S Singh
NIPS 1999, 1999
8662*1999
A discriminatively trained, multiscale, deformable part model
P Felzenszwalb, D McAllester, D Ramanan
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
39652008
Cascade object detection with deformable part models
PF Felzenszwalb, RB Girshick, D McAllester
2010 IEEE Computer society conference on computer vision and pattern …, 2010
13292010
Systematic nonlinear planning
D McAllester, D Rosenblatt
8971991
Some pac-bayesian theorems
DA McAllester
Proceedings of the eleventh annual conference on Computational learning …, 1998
8651998
PAC-Bayesian model averaging
DA McAllester
Proceedings of the twelfth annual conference on Computational learning …, 1999
5941999
Evidence for invariants in local search
D McAllester, B Selman, H Kautz
AAAI/IAAI, 321-326, 1997
5601997
CLP (Intervals) Revisited.
F Benhamou, DA McAllester, P Van Hentenryck
ILPS 94, 1-21, 1994
4891994
Encoding plans in propositional logic
H Kautz, D McAllester, B Selman
KR 96, 374-384, 1996
4751996
Efficient joint segmentation, occlusion labeling, stereo and flow estimation
K Yamaguchi, D McAllester, R Urtasun
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
4332014
An indexed model of recursive types for foundational proof-carrying code
AW Appel, D McAllester
ACM Transactions on Programming Languages and Systems (TOPLAS) 23 (5), 657-683, 2001
4322001
PAC generalization bounds for co-training
S Dasgupta, M Littman, D McAllester
Advances in neural information processing systems 14, 2001
4212001
Solving polynomial systems using a branch and prune approach
P Van Hentenryck, D McAllester, D Kapur
SIAM Journal on Numerical Analysis 34 (2), 797-827, 1997
4201997
Object detection with grammar models
R Girshick, P Felzenszwalb, D McAllester
Advances in neural information processing systems 24, 2011
3732011
PAC-Bayesian stochastic model selection
DA McAllester
Machine Learning 51 (1), 5-21, 2003
3272003
An outlook on truth maintenance
DA McAllester
3031980
Formal limitations on the measurement of mutual information
D McAllester, K Stratos
International Conference on Artificial Intelligence and Statistics, 875-884, 2020
2882020
Simplified PAC-Bayesian margin bounds
D McAllester
Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003
2682003
Computational challenges in propositional reasoning and search
B Selman, H Kautz, D McAllester
Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997
2641997
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