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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
2013Prediction by random-walk perturbation.Luc Devroye, Gbor Lugosi, Gergely Neu
2013Randomized partition trees for exact nearest neighbor search.Sanjoy Dasgupta, Kaushik Sinha
2013The price of bandit information in multiclass online classification.Amit Daniely, Tom Helbertal
2013Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights.Sung-Soon Choi
2013Beating Bandits in Gradually Evolving Worlds.Chao-Kai Chiang, Chia-Jung Lee, Chi-Jen Lu
2013Bounded regret in stochastic multi-armed bandits.Sbastien Bubeck, Vianney Perchet, Philippe Rigollet
2013Complexity Theoretic Lower Bounds for Sparse Principal Component Detection.Quentin Berthet, Philippe Rigollet
2013Opportunistic Strategies for Generalized No-Regret Problems.Andrey Bernstein, Shie Mannor, Nahum Shimkin
2013Blind Signal Separation in the Presence of Gaussian Noise.Mikhail Belkin, Luis Rademacher, James R. Voss
2013A near-optimal algorithm for finite partial-monitoring games against adversarial opponents.Gbor Bartk
2013Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families.Peter L. Bartlett, Peter Grnwald, Peter Harremos, Fares Hedayati, Wojciech Kotlowski
2013Active and passive learning of linear separators under log-concave distributions.Maria-Florina Balcan, Philip M. Long
2013Sharp analysis of low-rank kernel matrix approximations.Francis R. Bach
2013Learning Using Local Membership Queries.Pranjal Awasthi, Vitaly Feldman, Varun Kanade
2013A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret.Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman
2013Efficient Learning of Simplices.Joseph Anderson, Navin Goyal, Luis Rademacher
2013Online Learning for Time Series Prediction.Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir
2013A Tensor Spectral Approach to Learning Mixed Membership Community Models.Animashree Anandkumar, Rong Ge, Daniel J. Hsu, Sham M. Kakade
2013Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses.Shivani Agarwal
2013Optimal Probability Estimation with Applications to Prediction and Classification.Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
2013Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem.Ittai Abraham, Omar Alonso, Vasilis Kandylas, Aleksandrs Slivkins
2012PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model.Taiji Suzuki
2012Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem.Zohar Shay Karnin, Edo Liberty, Shachar Lovett, Roy Schwartz, Omri Weinstein
2012The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators.Fares Hedayati, Peter L. Bartlett
2010Robustness and Generalization.Huan Xu, Shie Mannor
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