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Conference on Learning Theory

COLT

A*

CORE rank

CORE rank (raw)

A*

Fields of research

Machine Learning · Artificial Intelligence

Papers indexed

2,661

1988–2026

Papers per year

1988197 peak2026

COLT papers

2,661 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
1991Tracking Drifting Concepts Using Random Examples.David P. Helmbold, Philip M. Long
1991Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.David Haussler, Michael J. Kearns, Robert E. Schapire
1991Learning MonotoneThomas R. Hancock, Yishay Mansour
1991Learning Read-Once Formulas over Fields and Extended Bases.Thomas R. Hancock, Lisa Hellerstein
1991Learning 2 DNF Formulas andThomas R. Hancock
1991On the Complexity of Teaching.Sally A. Goldman, Michael J. Kearns
1991Improved Learning of ACMerrick L. Furst, Jeffrey C. Jackson, Sean W. Smith
1991Probably Almost Bayes Decisions.Paul Fischer, Stefan Plt, Hans Ulrich Simon
1991Relations Between Probabilistic and Team One-Shot Learners (Extended Abstract).Robert P. Daley, Leonard Pitt, Mahendran Velauthapillai, Todd Will
1991Learning and Generalization.(Abstract).Thomas M. Cover
1991Fast Identification of Geometric Objects with Membership Queries.William J. Bultman, Wolfgang Maass
1991Simultaneous Learning of Concepts and Simultaneous Estimation of Probabilities.Kevin Buescher, P. R. Kumar
1991The Role of Learning in Autonomous Robots.Rodney A. Brooks
1991Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes.Avrim Blum, Lisa Hellerstein, Nick Littlestone
1991Investigating the Distribution Assumptions in the Pac Learning Model.Peter L. Bartlett, Robert C. Williamson
1991Approximation and Estimation Bounds for Artificial Neural Networks.Andrew R. Barron
1991Learning Monotone DNF with an Incomplete Membership Oracle.Dana Angluin, Donna K. Slonim
1991Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi
1990A Learning Criterion for Stochastic Rules.Kenji Yamanishi
1990Inductive Identification of Pattern Languages Restricted Substitutions.Keith Wright
1990Aggregating Strategies.V. G. Vovk
1990Learning DNF Under the Uniform Distribution in Quasi-Polynomial Time.Karsten A. Verbeurgt
1990On the Number of Examples and Stages Needed for Learning Decision Trees.Hans Ulrich Simon
1990Inductive Inference from Positive Data is Powerful.Takeshi Shinohara
1990Pattern Languages are not Learnable.Robert E. Schapire
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