Phan, Dzung

6 publications

NeurIPS 2021 Cardinality-Regularized Hawkes-Granger Model Tsuyoshi Ide, Georgios Kollias, Dzung Phan, Naoki Abe

NeurIPS 2021 Ensembling Graph Predictions for AMR Parsing Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam Nguyen, Dzung Phan, Vanessa Lopez, Ramon Fernandez Astudillo

NeurIPS 2021 FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization Quoc Tran Dinh, Nhan H Pham, Dzung Phan, Lam Nguyen

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

NeurIPS 2020 A Scalable MIP-Based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu, Pavankumar Murali, Dzung Phan, Lam Nguyen, Jayant Kalagnanam

ICML 2019 Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD Marten Van Dijk, Lam Nguyen, Phuong Ha Nguyen, Dzung Phan