Soummya Kar
9 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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Research topics
Keywords
stochastic gradient descent
(4)
non-convex optimization
(4)
heavy-tailed noise
(2)
gradient descent
(2)
convergence analysis
(2)
high probability bound
(2)
distributed learning
(2)
distributed inference
(1)
bregman divergence
(1)
distributed computing
(1)
distributed optimization
(1)
online learning
(1)
decentralized optimization
(1)
variance reduction
(1)
optimization theory
(1)
oracle complexity
(1)
nonsmooth optimization
(1)
projection-free optimization
(1)
clustering algorithm
(1)
iterative optimization
(1)
Papers
Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
COLT 2026
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
AISTATS 2025
Large deviations rates for stochastic gradient descent with strongly convex functions
AISTATS 2023
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
JMLR 2022
Gradient Based Clustering
ICML 2022
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
ICML 2021
Towards Gradient Free and Projection Free Stochastic Optimization
AISTATS 2019
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation
JMLR 2018
Coded Distributed Computing for Inverse Problems
NeurIPS 2017