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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
1996On Learning width Two Branching Programs (Extended Abstract).Nader H. Bshouty, Christino Tamon, David K. Wilson
1996Attribute-Efficient Learning in Query and Mistake-Bound Models.Nader H. Bshouty, Lisa Hellerstein
1996On Restricted-Focus-of-Attention Learnability of Boolean Functions.Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jackson, Norbert Klasner, Hans Ulrich Simon
1996A Bayesian/Information Theoretic Model of Bias Learning.Jonathan Baxter
1996On the Complexity of Learning from Drifting Distributions.Rakesh D. Barve, Philip M. Long
1996Learning Changing Concepts by Exploiting the Structure of Change.Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni
1996Synthesizing Enumeration Techniques for Language Learning.Ganesh R. Baliga, John Case, Sanjay Jain
1996Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract).Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
1996Strong Minimax Lower Bounds for Learning.Andrs Antos, Gbor Lugosi
1996Probabilistic and Team PFIN-Type Learning: General Properties.Andris Ambainis
1995Reducing the Number of Queries in Self-Directed Learning.Yiqun Lisa Yin
1995Randomized Approximate Aggregating Strategies and Their Applications to Prediction and Discrimination.Kenji Yamanishi
1995Criteria for Specifying Machine Complexity in Learning.Changfeng Wang, Santosh S. Venkatesh
1995A Game of Prediction with Expert Advice.V. G. Vovk
1995Rationality.Leslie G. Valiant
1995Learning via Queries and Oracles.Frank Stephan
1995Sample Sizes for Sigmoidal Neural Networks.John Shawe-Taylor
1995Predictive Hebbian Learning.Terrence J. Sejnowski, Peter Dayan, P. Read Montague
1995Sequential PAC Learning.Dale Schuurmans, Russell Greiner
1995Markov Decision Processes in Large State Spaces.Lawrence K. Saul, Satinder P. Singh
1995Proper Learning Algorithm for Functions ofYoshifumi Sakai, Eiji Takimoto, Akira Maruoka
1995On the Learnability and Usage of Acyclic Probabilistic Finite Automata.Dana Ron, Yoram Singer, Naftali Tishby
1995Exactly Learning Automata with Small Cover Time.Dana Ron, Ronitt Rubinfeld
1995Being Taught can be Faster than Asking Questions.Ronald L. Rivest, Yiqun Lisa Yin
1995Learning from a Mixture of Labeled and Unlabeled Examples with Parametric Side Information.Joel Ratsaby, Santosh S. Venkatesh
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