Publications

This page lists selected publications. For the full list of papers and preprints, see my Google Scholar profile:

Selected Journal Manuscripts

Finite-Sample Weak Convergence Rates of Nonlinear Stochastic Approximation [Link]
S. T. Kong, R. Srikant
Under review (2026)
Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation [Link]
S. T. Kong, S. Zeng, T. T. Doan, R. Srikant
Under review (2025)
Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types [Link]
S. Mandal*, S. T. Kong*, D. Katselis, R. Srikant
TMLR (2025)

Selected Conference Papers

Provably Convergent Primal-Dual DPO for Constrained LLM Alignment [Link]
Y. Du, S. T. Kong, R. Srikant
Under Review (2026)
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection [Link]
J. Kim*, S. T. Kong*, D. Na, K.-H. Jung
AAAI (2023)
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity [Link]
S. T. Kong, S. Jeon, D. Na, J. Lee, H.-S. Lee, K.-H. Jung
NeurIPS (2022)

In Progress

Optimal Noise Schedules for Diffusion Models
When to Use Polyak-Ruppert Averaging in Stochastic Approximation?