Chakraborty, Saptarshi

9 publications

TMLR 2025 Minimax Lower Bounds for Estimating Distributions on Low-Dimensional Spaces Saptarshi Chakraborty

JMLR 2025 On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension Saptarshi Chakraborty, Peter L. Bartlett

AISTATS 2025 Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis Using GANs Saptarshi Chakraborty, Peter Bartlett

ICLR 2024 A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-Dimensional Data Saptarshi Chakraborty, Peter Bartlett

AISTATS 2023 Clustering High-Dimensional Data with Ordered Weighted $\ell_1$ Regularization Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das

ICML 2022 Bregman Power K-Means for Clustering Exponential Family Data Adithya Vellal, Saptarshi Chakraborty, Jason Q Xu

AAAI 2021 Automated Clustering of High-Dimensional Data with a Feature Weighted Mean Shift Algorithm Saptarshi Chakraborty, Debolina Paul, Swagatam Das

NeurIPS 2021 Uniform Concentration Bounds Toward a Unified Framework for Robust Clustering Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu

AISTATS 2020 Entropy Weighted Power K-Means Clustering Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu