Abhishek Roy
8 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Mathematics & Optimization
(4)
Optimization
(4)
Deep Learning
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic optimization
(4)
convergence rate
(2)
non-convex optimization
(2)
stochastic gradient descent
(2)
constrained optimization
(2)
black-box attack
(1)
rate of convergence
(1)
uncertainty quantification
(1)
stochastic approximation
(1)
asymptotic normality
(1)
high-dimensional regression
(1)
adversarial attack
(1)
markov decision process
(1)
clustering algorithm
(1)
online algorithm
(1)
empirical risk minimization
(1)
risk bound
(1)
streaming data
(1)
k-means clustering
(1)
online learning
(1)
Papers
Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective
UAI 2026
Online Covariance Estimation in Nonsmooth Stochastic Approximation
COLT 2025
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
NeurIPS 2024
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
NeurIPS 2022
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity
JMLR 2022
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
NeurIPS 2021
Escaping Saddle-Point Faster under Interpolation-like Conditions
NeurIPS 2020
Suspicion-Free Adversarial Attacks on Clustering Algorithms
AAAI 2020