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Joe Suk
Joe Suk
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Tracking Most Significant Arm Switches in Bandits
J Suk, S Kpotufe
Conference on Learning Theory, 2160-2182, 2022
19*2022
Self-tuning bandits over unknown covariate-shifts
J Suk, S Kpotufe
Algorithmic Learning Theory, 1114-1156, 2021
132021
Dihedral sieving phenomena
S Rao, J Suk
Discrete Mathematics 343 (6), 111849, 2020
132020
Tracking Most Significant Shifts in Nonparametric Contextual Bandits
J Suk, S Kpotufe
Thirty-seventh Conference on Neural Information Processing Systems, 2023
42023
Factorizations of -nonnegative matrices
S Chepuri, N Kulkarni, J Suk, E Tang
Journal of Combinatorics 13 (2), 201-250, 2022
4*2022
When Can We Track Significant Preference Shifts in Dueling Bandits?
J Suk, A Agarwal
Thirty-seventh Conference on Neural Information Processing Systems, 2023
32023
Adaptive Smooth Non-Stationary Bandits
J Suk
arXiv preprint arXiv:2407.08654, 2024
12024
Non-Stationary Dueling Bandits Under a Weighted Borda Criterion
J Suk, A Agarwal
Transactions on Machine Learning Research, 2024
1*2024
Tracking Most Significant Shifts in Infinite-Armed Bandits
J Suk, J Kim
arXiv preprint arXiv:2502.00108, 2025
2025
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Articles 1–9