| 2025 | ICML | Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations. | Quoc Tran-Dinh |
| 2021 | AISTATS | Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes. | Nhuong V. Nguyen, Toan N. Nguyen, Phuong Ha Nguyen, Quoc Tran-Dinh, Lam M. Nguyen, Marten van Dijk |
| 2021 | ICML | SMG: A Shuffling Gradient-Based Method with Momentum. | Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh |
| 2021 | WSC | Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. | Yunsoo Ha, Sara Shashaani, Quoc Tran-Dinh |
| 2020 | AISTATS | A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. | Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh |
| 2020 | ICLR | Transferring Optimality Across Data Distributions via Homotopy Methods. | Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter |
| 2020 | ICML | Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. | Quoc Tran-Dinh, Nhan H. Pham, Lam M. Nguyen |
| 2016 | AISTATS | Convex Block-sparse Linear Regression with Expanders - Provably. | Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher |
| 2016 | ICASSP | Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. | Gergely dor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher |
| 2016 | ICONIP | Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm. | Duy Khuong Nguyen, Quoc Tran-Dinh, Tu Bao Ho |
| 2015 | AISTATS | WASP: Scalable Bayes via barycenters of subset posteriors. | Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson |
| 2014 | AAAI | Scalable Sparse Covariance Estimation via Self-Concordance. | Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher |
| 2014 | ICASSP | Barrier smoothing for nonsmooth convex minimization. | Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher |
| 2013 | ICML | A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. | Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher |