Quoc Tran Dinh
10 papers · 2013–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
💎
Century Club
(10)
📈
Trend Setter
🚀
Conference Pioneer
🔥
Unstoppable
(6)
Conferences
NIPS (7)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
convex optimization
(4)
nonconvex optimization
(3)
primal-dual method
(3)
coordinate descent
(2)
minimax optimization
(2)
oracle complexity
(2)
linear regression
(1)
gradient-based method
(1)
stochastic optimization
(1)
constrained optimization
(1)
alternating direction method
(1)
stochastic gradient descent
(1)
distributed optimization
(1)
precision matrix estimation
(1)
primal-dual algorithm
(1)
graph learning
(1)
convex minimization
(1)
sparse matrix
(1)
stochastic gradient
(1)
federated learning
(1)
Papers
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
NIPS 2024
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
NIPS 2021
Transferring Optimality Across Data Distributions via Homotopy Methods
ICLR 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
NIPS 2020
Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates
NIPS 2018
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
NIPS 2017
Convex Block-sparse Linear Regression with Expanders – Provably
AISTATS 2016
A Universal Primal-Dual Convex Optimization Framework
NIPS 2015
Constrained convex minimization via model-based excessive gap
NIPS 2014
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
ICML 2013