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Lam M. Nguyen

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Ensembling Graph Predictions for AMR Parsing

Oct 18, 2021
Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramon Fernandez Astudillo

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Federated Learning with Randomized Douglas-Rachford Splitting Methods

Mar 05, 2021
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh

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Differential Private Hogwild! over Distributed Local Data Sets

Feb 17, 2021
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Phuong Ha Nguyen

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Shuffling Gradient-Based Methods with Momentum

Nov 24, 2020
Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh

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A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees

Nov 06, 2020
Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam

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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes

Oct 27, 2020
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen

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An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization

Aug 20, 2020
Deyi Liu, Lam M. Nguyen, Quoc Tran-Dinh

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Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise

Jul 17, 2020
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen

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Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems

Jun 27, 2020
Quoc Tran-Dinh, Deyi Liu, Lam M. Nguyen

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Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness

Apr 01, 2020
Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg

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