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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

Best Artificial Intelligence conferencesBest Machine Learning conferences

Papers per year

1988197 peak2026

Most published authors

COLT papers

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

YearTitleAuthors
2026Actively Learning Halfspaces without Synthetic Data.Hadley Black, Kasper Green Larsen, Arya Mazumdar, Barna Saha, Geelon So
2026Adaptive Weighted Averaging.Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
2026Omniprediction with Long-Term Constraints.Yahav Bechavod, Jiuyao Lu, Aaron Roth
2026Algorithmic Thinking Theory.MohammadHossein Bateni, Vincent Cohen-Addad, Yuzhou Gu, Silvio Lattanzi, Simon Meierhans, Christopher Mohri
2026Limitations of SGD for Multi-Index Models Beyond Statistical Queries.Daniel Barzilai, Ohad Shamir
2026Cloning is as Hard as Learning for Stabilizer States.Nikhil Bansal, Matthias C. Caro, Gaurav Mahajan
2026Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design.Maria-Florina Balcan, Wesley Pegden, Dravyansh Sharma
2026Variational Tail Bounds for Norms of Random Vectors and Matrices.Sohail Bahmani
2026A Complexity Measure for Active Learning in Multi-group Mean Estimation.Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub
2026Margin in Abstract Spaces.Yair Ashlagi, Roi Livni, Shay Moran, Tom Waknine
2026Strongly Polynomial Time Complexity of Policy Iteration for LAli Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Alipasha Montaseri, Carlo Pagano
2026Open Problem: How much overparametrization is needed for ALS in tensor decomposition?Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
2026Learning depth-3 circuits via quantum agnostic boosting.Srinivasan Arunachalam, Arkopal Dutt, Alexandru Gheorghiu, Michael de Oliveira
2026Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization.Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Ali H. Sayed
2026Statistical Learning from Attribution Sets.Lorne Applebaum, Rbert Busa-Fekete, August Y. Chen, Claudio Gentile, Tomer Koren, Aryan Mokhtari
2026Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures.Prashanti Anderson, Mitali Bafna, Rares-Darius Buhai, Pravesh K. Kothari, David Steurer
2026Swap Regret Minimization Through Response-Based Approachability.Ioannis Anagnostides, Gabriele Farina, Maxwell Fishelson, Haipeng Luo, Jon Schneider
2026Query Efficient Structured Matrix Learning.Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Christopher Musco, Cameron Musco, David Persson
2026Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions.Maryam Aliakbarpour, Alireza Azizi, Ria Stevens
2026Quiet Planting for k-SAT, Multiple Solutions of Arbitrary Geometry.Ali Ahmadi, Kiarash Banihashem, Iman Gholami, Mohammad Taghi Hajiaghayi, Jan Olkowski
2026On efficient robust regression with subquadratic samples.Deeksha Adil, Jaroslaw Blasiok, Hongjie Chen, Deepak Narayanan Sridharan
2026How fast can you find a good hypothesis?Anders Aamand, Maryam Aliakbarpour, Justin Y. Chen, Sandeep Silwal
2025Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL.Matthew Zurek, Yudong Chen
2025Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification.Xiaohan Zhu, Nathan Srebro
2025The Adaptive Complexity of Finding a Stationary Point.Huanjian Zhou, Andi Han, Akiko Takeda, Masashi Sugiyama
176–200 of 2,661← PreviousNext →

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