Necdet Serhat Aybat
7 papers · 2016–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Keywords
stochastic optimization
(5)
non-convex optimization
(3)
minimax optimization
(3)
variance reduction
(3)
high probability guarantee
(2)
accelerated gradient
(2)
primal-dual method
(2)
communication complexity
(1)
parameter estimation
(1)
stochastic gradient descent
(1)
distributed optimization
(1)
maximum likelihood
(1)
precision matrix
(1)
nesterov method
(1)
decentralized optimization
(1)
maximum likelihood estimation
(1)
sparse optimization
(1)
sparse estimation
(1)
oracle complexity
(1)
strongly convex
(1)
Papers
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method
JMLR 2024
High-probability complexity bounds for stochastic non-convex minimax optimization
NeurIPS 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
AAAI 2024
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
NeurIPS 2022
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
JMLR 2020
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
NeurIPS 2019
A primal-dual method for conic constrained distributed optimization problems
NeurIPS 2016