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Joe Suk
Joe Suk
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Tracking Most Significant Arm Switches in Bandits
J Suk, S Kpotufe
Conference on Learning Theory, 2160-2182, 2022
13*2022
Dihedral sieving phenomena
S Rao, J Suk
Discrete Mathematics 343 (6), 111849, 2020
122020
Self-tuning bandits over unknown covariate-shifts
J Suk, S Kpotufe
Algorithmic Learning Theory, 1114-1156, 2021
102021
Factorizations of -nonnegative matrices
S Chepuri, N Kulkarni, J Suk, E Tang
Journal of Combinatorics 13 (2), 201-250, 2022
4*2022
Tracking Most Significant Shifts in Nonparametric Contextual Bandits
J Suk, S Kpotufe
Thirty-seventh Conference on Neural Information Processing Systems, 2023
12023
When Can We Track Significant Preference Shifts in Dueling Bandits?
J Suk, A Agarwal
Thirty-seventh Conference on Neural Information Processing Systems, 2023
12023
Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion
J Suk, A Agarwal
arXiv preprint arXiv:2403.12950, 2024
2024
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