Saptarshi Chakraborty
9 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20)
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Research topics
Machine Learning
(8)
Core Methods
(7)
Optimization & Theory Β· Machine Learning
(6)
Deep Learning
(3)
Mathematics & Optimization
(3)
Learning Types
(3)
Architectures
(2)
Mathematics
(2)
Optimization
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Generation
(1)
Models
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
k-means clustering
(3)
high-dimensional data
(2)
generative adversarial network
(2)
wasserstein distance
(2)
center-based clustering
(2)
median of mean
(2)
feature selection
(1)
intrinsic dimension
(1)
representation learning
(1)
bregman divergence
(1)
outlier detection
(1)
convex clustering
(1)
generalization error
(1)
exponential family
(1)
density estimation
(1)
block coordinate descent
(1)
outlier robustness
(1)
image-to-image translation
(1)
feature weighting
(1)
centroid-based clustering
(1)
Papers
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
AAAI 2026
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025
Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs
AISTATS 2025
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
ICLR 2024
Clustering High-dimensional Data with Ordered Weighted β_1 Regularization
AISTATS 2023
Bregman Power k-Means for Clustering Exponential Family Data
ICML 2022
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