Seguir
Michael Kearns
Título
Citado por
Citado por
Año
An introduction to computational learning theory
MJ Kearns, U Vazirani
MIT press, 1994
20771994
Cryptographic limitations on learning boolean formulae and finite automata
M Kearns, L Valiant
Journal of the ACM (JACM) 41 (1), 67-95, 1994
12131994
Near-optimal reinforcement learning in polynomial time
M Kearns, S Singh
Machine learning 49 (2), 209-232, 2002
11062002
Efficient noise-tolerant learning from statistical queries
M Kearns
Journal of the ACM (JACM) 45 (6), 983-1006, 1998
9511998
Graphical models for game theory
M Kearns, ML Littman, S Singh
arXiv preprint arXiv:1301.2281, 2013
7512013
A sparse sampling algorithm for near-optimal planning in large Markov decision processes
M Kearns, Y Mansour, AY Ng
Machine learning 49 (2), 193-208, 2002
7042002
Toward efficient agnostic learning
MJ Kearns, RE Schapire, LM Sellie
Machine Learning 17 (2), 115-141, 1994
6231994
A general lower bound on the number of examples needed for learning
A Ehrenfeucht, D Haussler, M Kearns, L Valiant
Information and Computation 82 (3), 247-261, 1989
6061989
Learning in the presence of malicious errors
M Kearns, M Li
SIAM Journal on Computing 22 (4), 807-837, 1993
5871993
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
M Kearns, D Ron
Neural computation 11 (6), 1427-1453, 1999
5811999
Fairness in criminal justice risk assessments: The state of the art
R Berk, H Heidari, S Jabbari, M Kearns, A Roth
Sociological Methods & Research 50 (1), 3-44, 2021
5652021
Optimizing dialogue management with reinforcement learning: Experiments with the NJFun system
S Singh, D Litman, M Kearns, M Walker
Journal of Artificial Intelligence Research 16, 105-133, 2002
4682002
Preventing fairness gerrymandering: Auditing and learning for subgroup fairness
M Kearns, S Neel, A Roth, ZS Wu
International Conference on Machine Learning, 2564-2572, 2018
4252018
On the complexity of teaching
SA Goldman, MJ Kearns
Journal of Computer and System Sciences 50 (1), 20-31, 1995
3911995
On the learnability of Boolean formulae
M Kearns, M Li, L Pitt, L Valiant
Proceedings of the nineteenth annual ACM symposium on Theory of computing …, 1987
3851987
Cryptographic primitives based on hard learning problems
A Blum, M Furst, M Kearns, RJ Lipton
Annual International Cryptology Conference, 278-291, 1993
3491993
Nash Convergence of Gradient Dynamics in General-Sum Games.
SP Singh, MJ Kearns, Y Mansour
UAI, 541-548, 2000
3442000
Fairness in learning: Classic and contextual bandits
M Joseph, M Kearns, JH Morgenstern, A Roth
Advances in neural information processing systems 29, 2016
3322016
An experimental study of the coloring problem on human subject networks
M Kearns, S Suri, N Montfort
science 313 (5788), 824-827, 2006
3282006
Advances in Neural Information Processing Systems 10: Proceedings of the 1997 Conference
MI Jordan, MJ Kearns, SA Solla
Mit Press, 1998
3271998
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20