Joe Suk

15 papers A* 4Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Smooth Nonstationary Bandits.
SIAM J. Math. Data Sci.
Joe Suk
2025 J jnl
An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees.
CoRR
Joe Suk, Samory Kpotufe
2025 J jnl
On the optimization dynamics of RLVR: Gradient gap and step size thresholds.
CoRR
Joe Suk, Yaqi Duan
2025 A* conf
Tracking Most Significant Shifts in Infinite-Armed Bandits.
ICML
Joe Suk, Jung-Hun Kim
2025 J jnl
Tracking Most Significant Shifts in Infinite-Armed Bandits.
CoRR
Joe Suk, Jung-Hun Kim
2024 J jnl
Adaptive Smooth Non-Stationary Bandits.
CoRR
Joe Suk
2024 J jnl
Non-Stationary Dueling Bandits Under a Weighted Borda Criterion.
Trans. Mach. Learn. Res.
Joe Suk, Arpit Agarwal
2024 J jnl
Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion.
CoRR
Joe Suk, Arpit Agarwal
2023 A* conf
Tracking Most Significant Shifts in Nonparametric Contextual Bandits.
NeurIPS
Joe Suk, Samory Kpotufe
2023 J jnl
Tracking Most Significant Shifts in Nonparametric Contextual Bandits.
CoRR
Joe Suk, Samory Kpotufe
2023 A* conf
When Can We Track Significant Preference Shifts in Dueling Bandits?
NeurIPS
Joe Suk, Arpit Agarwal
2023 J jnl
When Can We Track Significant Preference Shifts in Dueling Bandits?
CoRR
Joe Suk, Arpit Agarwal
2022 A* conf
Tracking Most Significant Arm Switches in Bandits.
COLT
Joe Suk, Samory Kpotufe
2021 J jnl
Tracking Most Severe Arm Changes in Bandits.
CoRR
Joe Suk, Samory Kpotufe
2020 J jnl
Dihedral sieving phenomena.
Discret. Math.
Sujit Rao, Joe Suk