Steve Hanneke
According to our database1,
Steve Hanneke
authored at least 91 papers
between 2006 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
The Star Number and Eluder Dimension: Elementary Observations About the Dimensions of Disagreement.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes.
J. Mach. Learn. Res., 2021
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
Proceedings of the Conference on Learning Theory, 2021
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games.
Proceedings of the Conference on Learning Theory, 2021
Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Algorithmic Learning Theory, 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the Conference on Learning Theory, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Theor. Comput. Sci., 2018
Bounds on the minimax rate for estimating a prior over a VC class from independent learning tasks.
Theor. Comput. Sci., 2018
Proceedings of the Conference On Learning Theory, 2018
2017
2016
2015
J. Mach. Learn. Res., 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
2014
2013
Mach. Learn., 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
J. Mach. Learn. Res., 2012
2011
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning.
Proceedings of the COLT 2011, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Proceedings of the Machine Learning, 2006