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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
2000Language Learning From Texts: Degrees of Instrinsic Complexity and Their Characterizations.Sanjay Jain, Efim B. Kinber, Rolf Wiehagen
2000On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries.Jeffrey C. Jackson
2000Sparsity vs. Large Margins for Linear Classifiers.Ralf Herbrich, Thore Graepel, John Shawe-Taylor
2000Generalisation Error Bounds for Sparse Linear Classifiers.Thore Graepel, Ralf Herbrich, John Shawe-Taylor
2000Improved Algorithms for Theory Revision with Queries.Judy Goldsmith, Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn
2000The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries.Paul W. Goldberg, Stephen Kwek
2000Continuous Drifting Games.Yoav Freund, Manfred Opper
2000Relative Expected Instantaneous Loss Bounds.Jrgen Forster, Manfred K. Warmuth
2000Leveraging for Regression.Nigel Duffy, David P. Helmbold
2000MadaBoost: A Modification of AdaBoost.Carlos Domingo, Osamu Watanabe
2000On the Learnability and Design of Output Codes for Multiclass Problems.Koby Crammer, Yoram Singer
2000Logistic Regression, AdaBoost and Bregman Distances.Michael Collins, Robert E. Schapire, Yoram Singer
2000The Computational Complexity of Densest Region Detection.Shai Ben-David, Nadav Eiron, Hans Ulrich Simon
2000On the Difficulty of Approximately Maximizing Agreements.Shai Ben-David, Nadav Eiron, Philip M. Long
2000Model Selection and Error Estimation.Peter L. Bartlett, Stphane Boucheron, Gbor Lugosi
2000Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning.Peter L. Bartlett, Jonathan Baxter
2000Abstract Combinatorial Characterizations of Exact Learning via Queries.Jos L. Balczar, Jorge Castro, David Guijarro
2000Adaptive and Self-Confident On-Line Learning Algorithms.Peter Auer, Claudio Gentile
2000An Improved On-line Algorithm for Learning Linear Evaluation Functions.Peter Auer
2000Improving Algorithms for Boosting.Javed A. Aslam
1999Theoretical Analysis of a Class of Randomized Regularization Methods.Tong Zhang
1999On Prediction of Individual Sequences Relative to a Set of Experts in the Presence of Noise.Tsachy Weissman, Neri Merhav
1999Extensional Set Learning (extended abstract).Sebastiaan Terwijn
1999Convergence Analysis of Temporal-Difference Learning Algorithms with Linear Function Approximation.Vladislav Tadic
1999On Theory Revision with Queries.Robert H. Sloan, Gyrgy Turn
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