On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das; Ivan Zelinka (GECCO (Companion), 2019)

Entropy Weighted Power k-Means Clustering. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das; Jason Q. Xu (AISTATS, 2020)

Entropy Regularized Power k-Means Clustering. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das; Jason Q. Xu (CoRR, 2020)

Kernel k-Means, By All Means: Algorithms and Strong Consistency. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das; Jason Q. Xu (CoRR, 2020)

Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das (AAAI, 2021)

$t$-Entropy: A New Measure of Uncertainty with Some Applications. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das (ISIT, 2021)

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das; Jason Q. Xu (NeurIPS, 2021)

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das (CoRR, 2022)

Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means. - Supratik Basu; Jyotishka Ray Choudhury; Debolina Paul; Swagatam Das (CoRR, 2023)

On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. - Saptarshi Chakraborty; Debolina Paul; Swagatam Das (IEEE Trans. Cybern., 2023)

Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das; Jason Q. Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das (Tiny Papers @ ICLR, 2024)

Robust Principal Component Analysis: A Median of Means Approach. - Debolina Paul; Saptarshi Chakraborty; Swagatam Das (IEEE Trans. Neural Networks Learn. Syst., 2024)