Soham Jana

14 papers A* 3Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarially Robust Clustering With Optimality Guarantees.
IEEE Trans. Inf. Theory
Soham Jana, Kun Yang, Sanjeev Kulkarni
2025 J jnl
A Provable Initialization and Robust Clustering Method for General Mixture Models.
IEEE Trans. Inf. Theory
Soham Jana, Jianqing Fan, Sanjeev R. Kulkarni
2025 J jnl
Factor Informed Double Deep Learning For Average Treatment Effect Estimation.
CoRR
Jianqing Fan, Soham Jana, Sanjeev R. Kulkarni, Qishuo Yin
2025 J jnl
Multilook Coherent Imaging: Theoretical Guarantees and Algorithms.
CoRR
Xi Chen, Soham Jana, Christopher A. Metzler, Arian Maleki, Shirin Jalali
2025 J jnl
The fundamental limits of minimax risk for high-dimensional speckle noise model.
CoRR
Hao Xing, Soham Jana, Arian Maleki
2023 J jnl
Adversarially robust clustering with optimality guarantees.
CoRR
Soham Jana, Kun Yang, Sanjeev R. Kulkarni
2023 A* conf
Empirical Bayes via ERM and Rademacher complexities: the Poisson model.
COLT
Soham Jana, Yury Polyanskiy, Anzo Z. Teh, Yihong Wu
2023 J jnl
Optimal Prediction of Markov Chains With and Without Spectral Gap.
IEEE Trans. Inf. Theory
Yanjun Han, Soham Jana, Yihong Wu
2023 J jnl
Support recovery with Projected Stochastic Gates: Theory and application for linear models.
Signal Process.
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
2021 A* conf
Optimal prediction of Markov chains with and without spectral gap.
NeurIPS
Yanjun Han, Soham Jana, Yihong Wu
2021 J jnl
Support Recovery with Stochastic Gates: Theory and Application for Linear Models.
CoRR
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
2020 A* conf
Extrapolating the profile of a finite population.
COLT
Soham Jana, Yury Polyanskiy, Yihong Wu
2020 J jnl
Extrapolating the profile of a finite population.
CoRR
Soham Jana, Yury Polyanskiy, Yihong Wu
2019 J jnl
A Characterization of All Single-Integral, Non-Kernel Divergence Estimators.
IEEE Trans. Inf. Theory
Soham Jana, Ayanendranath Basu