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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
1999Approximation Algorithms for Clustering Problems.David B. Shmoys
1999Further Results on the Margin Distribution.John Shawe-Taylor, Nello Cristianini
1999On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm.Rocco A. Servedio
1999Drifting Games.Robert E. Schapire
1999Learning Specialist Decision Lists.Atsuyoshi Nakamura
1999PAC-Bayesian Model Averaging.David A. McAllester
1999Reinforcement Learning and Mistake Bounded Algorithms.Yishay Mansour
1999Microchoice Bounds and Self Bounding Learning Algorithms.John Langford, Avrim Blum
1999Additive Models, Boosting, and Inference for Generalized Divergences.John D. Lafferty
1999An Apprentice Learning Model (extended abstract).Stephen Kwek
1999Boosting as Entropy Projection.Jyrki Kivinen, Manfred K. Warmuth
1999On the Intrinsic Complexity of Learning Recursive Functions.Efim B. Kinber, Christophe Papazian, Carl H. Smith, Rolf Wiehagen
1999Linear Relations between Square-Loss and Kolmogorov Complexity.Yuri Kalnishkan
1999On a Generalized Notion of Mistake Bounds.Sanjay Jain, Arun Sharma
1999Multiclass Learning, Boosting, and Error-Correcting Codes.Venkatesan Guruswami, Amit Sahai
1999Covering Numbers for Support Vector Machines.Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Robert C. Williamson
1999Viewing all Models as "Probabilistic".Peter Grnwald
1999Regret Bounds for Prediction Problems.Geoffrey J. Gordon
1999Learning Fixed-Dimension Linear Thresholds from Fragmented Data.Paul W. Goldberg
1999The Robustness of theClaudio Gentile, Nick Littlestone
1999Extension of the PAC Framework to Finite and Countable Markov Chains.David Gamarnik
1999Estimating a Mixture of Two Product Distributions.Yoav Freund, Yishay Mansour
1999An Adaptive Version of the Boost by Majority Algorithm.Yoav Freund
1999Minimax Regret Under log Loss for General Classes of Experts.Nicol Cesa-Bianchi, Gbor Lugosi
1999On Learning in the Presence of Unspecified Attribute Values.Nader H. Bshouty, David K. Wilson
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