Joe Suk

Preprints and Publications

  1. On the Optimization Dynamics of RLVR: Gradient Gap and Step Size Thresholds.
    Joe Suk, Yaqi Duan.
    NeurIPS 2025 Workshop on Foundations of Reasoning in Language Models

  2. An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees.
    Joe Suk, Samory Kpotufe.
    Preprint in Preparation

  3. Tracking Most Significant Shifts in Infinite-Armed Bandits
    Joe Suk, Jung-hun Kim.
    ICML 2025
    [code]

  4. Adaptive Smooth Non-Stationary Bandits
    Joe Suk.
    SIAM Journal on Mathematics of Data Science (SIMODS)
    [code]

  5. Non-Stationary Dueling Bandits Under a Weighted Borda Criterion
    Joe Suk, Arpit Agarwal.
    Transactions on Machine Learning Research (TMLR)
    (“Featured Certification”, ICLR 2025 Journal-to-Conference Track).

  6. When Can We Track Significant Preference Shifts in Dueling Bandits?
    Joe Suk, Arpit Agarwal.
    NeurIPS 2023
    [code]

  7. Tracking Most Significant Shifts in Nonparametric Contextual Bandits
    Joe Suk, Samory Kpotufe.
    NeurIPS 2023

  8. Tracking Most Significant Arm Switches in Bandits
    Joe Suk, Samory Kpotufe.
    COLT 2022

  9. Self-Tuning Bandits over Unknown Covariate-Shifts
    Joe Suk, Samory Kpotufe.
    ALT 2021
    [code]

  10. Factorizations of k-Nonnegative Matrices
    ($\alpha$–$\beta$) Sunita Chepuri, Neeraja Kulkarni, Joe Suk, Ewin Tang.
    Journal of Combinatorics

  11. Dihedral Sieving Phenomena
    ($\alpha$–$\beta$) Sujit Rao, Joe Suk.
    Discrete Mathematics