A Characterization of All Single-Integral, Non-Kernel Divergence Estimators. - Soham Jana; Ayanendranath Basu (IEEE Trans. Inf. Theory, 2019)

Extrapolating the profile of a finite population. - Soham Jana; Yury Polyanskiy; Yihong Wu 001 (COLT, 2020)

Support Recovery with Stochastic Gates: Theory and Application for Linear Models. - Soham Jana; Henry Li; Yutaro Yamada; Ofir Lindenbaum (CoRR, 2021)

Empirical Bayes via ERM and Rademacher complexities: the Poisson model. - Soham Jana; Yury Polyanskiy; Anzo Z. Teh; Yihong Wu 001 (COLT, 2023)

Adversarially robust clustering with optimality guarantees. - Soham Jana; Kun Yang; Sanjeev R. Kulkarni (CoRR, 2023)

Optimal Prediction of Markov Chains With and Without Spectral Gap. - Yanjun Han; Soham Jana; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2023)

Support recovery with Projected Stochastic Gates: Theory and application for linear models. - Soham Jana; Henry Li; Yutaro Yamada; Ofir Lindenbaum (Signal Process., 2023)

Multilook Coherent Imaging: Theoretical Guarantees and Algorithms. - Xi Chen; Soham Jana; Christopher A. Metzler; Arian Maleki; Shirin Jalali (CoRR, 2025)

A Provable Initialization and Robust Clustering Method for General Mixture Models. - Soham Jana; Jianqing Fan; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2025)