Publications

Publications

A list of my selected publications.

Journal Articles

  1. Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation

    Under review · 2026

    S. T. Kong, R. Srikant

  2. Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation

    Under review · 2025

    S. T. Kong, S. Zeng, T. T. Doan, R. Srikant

  3. Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types

    TMLR · 2025

    S. Mandal*, S. T. Kong*, D. Katselis, R. Srikant

Conference Papers

  1. Noise Schedule Design for Diffusion Models: An Optimal Control Perspective

    Under review · 2026

    S. T. Kong, W. Wang, R. Srikant

  2. Provably Convergent Primal-Dual DPO for Constrained LLM Alignment

    Under review · 2026

    Y. Du, S. T. Kong, R. Srikant

  3. Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection

    AAAI · 2023

    J. Kim*, S. T. Kong*, D. Na, K.-H. Jung

  4. A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity

    NeurIPS · 2022

    S. T. Kong, S. Jeon, D. Na, J. Lee, H.-S. Lee, K.-H. Jung

Work in Progress

  1. When to Use Polyak-Ruppert Averaging in Stochastic Approximation?

    In progress

* Equal contribution.