Quoc Tran-Dinh
11 papers · 2014–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Conferences
JMLR (4)
ICML (3)
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
stochastic optimization
(5)
oracle complexity
(4)
variance reduction
(3)
convergence rate
(3)
non-convex optimization
(2)
composite optimization
(2)
nonconvex optimization
(2)
convex optimization
(2)
stochastic gradient descent
(2)
shuffling strategy
(2)
distributed learning
(1)
communication complexity
(1)
finite-sum optimization
(1)
minimax optimization
(1)
reinforcement learning
(1)
convergence analysis
(1)
forward-backward splitting
(1)
policy gradient
(1)
gradient-based method
(1)
gradient descent
(1)
Papers
Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
ICML 2025
VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations
JMLR 2025
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
NIPS 2024
SMG: A Shuffling Gradient-Based Method with Momentum
ICML 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
AISTATS 2021
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
JMLR 2021
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
ICML 2020
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
JMLR 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
AISTATS 2020
Composite Self-Concordant Minimization
JMLR 2015
Constrained convex minimization via model-based excessive gap
NIPS 2014