Debolina Paul

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Robust Statistics

Kullback Leibler

Statistical Analyses

Top Venues

IEEE Trans. Cybern.

GECCO (Companion)

Publications

Debolina Paul, Saptarshi Chakraborty, Swagatam Das
t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. Tiny Papers @ ICLR (2024)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. IEEE Trans. Cybern. 53 (8) (2023)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das
Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means. CoRR (2023)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification. CoRR (2022)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. AAAI (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. CoRR (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. NeurIPS (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
$t$-Entropy: A New Measure of Uncertainty with Some Applications. ISIT (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
t-Entropy: A New Measure of Uncertainty with Some Applications. CoRR (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das
Robust Principal Component Analysis: A Median of Means Approach. CoRR (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu
Entropy Regularized Power k-Means Clustering. CoRR (2020)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
Kernel k-Means, By All Means: Algorithms and Strong Consistency. CoRR (2020)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu
Entropy Weighted Power k-Means Clustering. AISTATS (2020)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. CoRR (2020)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Ivan Zelinka
On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. GECCO (Companion) (2019)