Tran-Dinh, Quoc

16 publications

JMLR 2025 VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations Quoc Tran-Dinh

ICML 2025 Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations Quoc Tran-Dinh

NeurIPS 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization Quoc Tran-Dinh, Trang H. Tran, Lam M. Nguyen

AISTATS 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Nhuong Nguyen, Toan Nguyen, Phuong Ha Nguyen, Quoc Tran-Dinh, Lam Nguyen, Marten Dijk

JMLR 2021 A Unified Convergence Analysis for Shuffling-Type Gradient Methods Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk

ICML 2021 SMG: A Shuffling Gradient-Based Method with Momentum Trang H Tran, Lam M Nguyen, Quoc Tran-Dinh

AISTATS 2020 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning Nhan Pham, Lam Nguyen, Dzung Phan, Phuong Ha Nguyen, Marten Dijk, Quoc Tran-Dinh

JMLR 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh

ICML 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization Quoc Tran-Dinh, Nhan Pham, Lam Nguyen

AISTATS 2016 Convex Block-Sparse Linear Regression with Expanders - Provably Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher

JMLR 2015 Composite Self-Concordant Minimization Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher

AISTATS 2015 WASP: Scalable Bayes via Barycenters of Subset Posteriors Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson

NeurIPS 2014 Constrained Convex Minimization via Model-Based Excessive Gap Quoc Tran-Dinh, Volkan Cevher

MLJ 2014 Learning with Tensors: A Framework Based on Convex Optimization and Spectral Regularization Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens

AAAI 2014 Scalable Sparse Covariance Estimation via Self-Concordance Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher

ICML 2013 A Proximal Newton Framework for Composite Minimization: Graph Learning Without Cholesky Decompositions and Matrix Inversions Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher