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researcher

Debolina Paul

Indian Statistical Institute

11 papers hereh-index 9243 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • stat.ML8
  • cs.IT1
  • cs.LG1
  • stat.ME1
affiliations
  • Indian Statistical Institute
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedKernel k-Means, By All Means: Algorithms and Strong Consistency

9 citations · 13 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

stat.ML2021★ 2 cited

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering

Debolina Paul, Saptarshi Chakraborty, Swagatam Das +1

Recent advances in center-based clustering continue to improve upon the drawbacks of Lloyd's celebrated k-means algorithm over 60 years after its introduction. Various methods…

cs.IT2021

t-Entropy: A New Measure of Uncertainty with Some Applications

Saptarshi Chakraborty, Debolina Paul, Swagatam Das

The concept of Entropy plays a key role in Information Theory, Statistics, and Machine Learning.This paper introduces a new entropy measure, called the t-entropy, which exploits th…

stat.ML2021

Robust Principal Component Analysis: A Median of Means Approach

Debolina Paul, Saptarshi Chakraborty, Swagatam Das

Principal Component Analysis (PCA) is a fundamental tool for data visualization, denoising, and dimensionality reduction. It is widely popular in Statistics, Machine Learning, Comp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.