Quoc Tran-Dinh

11 papers · 2014–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze

🔬 Deep Specialist (11) 🏆 Keyword Champion (2) 📈 Trend Setter 💎 Century Club · Bronze 🗃️ Keyword Collector (55)

Venues

JMLR (4) ICML (3) AISTATS (2) NeurIPS (2)

Top co-authors

Lam Nguyen (3) PHUONG HA NGUYEN (3) Lam M. Nguyen (3) Quoc Tran Dinh (2) Dzung T. Phan (2) Nhan Pham (2) Volkan Cevher (2) Marten van Dijk (2) Lam M Nguyen (1) Nhuong Nguyen (1)

Research topics

Machine Learning (11) Optimization & Theory · Machine Learning (11) Mathematics & Optimization (9) Optimization (9) Deep Learning (2) Optimization & Theory · Deep Learning (2) Reinforcement Learning (1) Methods (1)

Keywords

stochastic optimization (5) non-convex optimization (4) oracle complexity (4) variance reduction (4) convergence rate (3) convex optimization (2) composite optimization (2) stochastic gradient descent (2) shuffling strategy (2) minimax optimization (1) distributed learning (1) communication complexity (1) reinforcement learning (1) gradient descent (1) convex minimization (1) convergence analysis (1) forward-backward splitting (1) policy gradient (1) gradient-based method (1) variational inequality (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 NeurIPS 2024 A Unified Convergence Analysis for Shuffling-Type Gradient Methods JMLR 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 SMG: A Shuffling Gradient-Based Method with Momentum ICML 2021 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Composite Self-Concordant Minimization JMLR 2015 Constrained convex minimization via model-based excessive gap NeurIPS 2014