Debolina Paul

5 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)

Venues

AAAI (2) AISTATS (1) IJCAI (1) NeurIPS (1)

Top co-authors

Swagatam Das (5) Saptarshi Chakraborty (4) Jason Xu (2) Jyotishka Ray Choudhury (1) Bibhabasu Mandal (1) Sourav De (1) Koustav Chowdhury (1) Supratik Basu (1) Sagar Ghosh (1)

Research topics

Machine Learning (5) Core Methods (5) Optimization & Theory (4) Mathematics & Optimization (1) Learning Types (1) Mathematics (1)

Keywords

k-means clustering (2) median of mean (2) robust clustering (2) cluster analysis (1) density estimation (1) outlier detection (1) convex clustering (1) center-based clustering (1) outlier robustness (1) feature weighting (1) clustering algorithm (1) high-dimensional data (1) entropy regularization (1) concentration bound (1) strong consistency (1) median-of-means estimator (1) majorization-minimization algorithm (1) mode seeking (1) mean shift clustering (1) power k-mean (1)

Papers

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator AAAI 2026 Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator IJCAI 2025 Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm AAAI 2021 Uniform Concentration Bounds toward a Unified Framework for Robust Clustering NeurIPS 2021 Entropy Weighted Power k-Means Clustering AISTATS 2020