Nguyen, Lam

18 publications

AAAI 2024 Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai

NeurIPS 2023 Analyzing Generalization of Neural Networks Through Loss Path Kernels Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng

NeurIPS 2023 On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms Lam Nguyen, Trang H. Tran

NeurIPSW 2022 FedToken: Tokenized Incentives for Data Contribution in Federated Learning Shashi Raj Pandey, Lam Nguyen, Petar Popovski

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

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

AAAI 2021 Interactive Video Object Mask Annotation Trung-Nghia Le, Tam V. Nguyen, Quoc-Cuong Tran, Lam Nguyen, Trung-Hieu Hoang, Minh-Quan Le, Minh-Triet Tran

NeurIPS 2021 On the Equivalence Between Neural Network and Support Vector Machine Yilan Chen, Wei Huang, Lam Nguyen, Tsui-Wei Weng

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

NeurIPS 2020 Hybrid Variance-Reduced SGD Algorithms for Minimax Problems with Nonconvex-Linear Function Quoc Tran Dinh, Deyi Liu, Lam Nguyen

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

CVPRW 2020 iTASK - Intelligent Traffic Analysis Software Kit Minh-Triet Tran, Tam V. Nguyen, Trung-Hieu Hoang, Trung-Nghia Le, Khac-Tuan Nguyen, Dat-Thanh Dinh, Thanh-An Nguyen, Hai-Dang Nguyen, Xuan-Nhat Hoang, Trong-Tung Nguyen, Viet-Khoa Vo-Ho, Trong-Le Do, Lam Nguyen, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Trong-Thang Pham, Xuan-Vy Nguyen, E-Ro Nguyen, Quoc-Cuong Tran, Hung Tran, Hieu Dao, Mai-Khiem Tran, Quang-Thuc Nguyen, Tien-Phat Nguyen, The-Anh Vu-Le, Gia-Han Diep, Minh N. Do

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

ICML 2019 PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach Lily Weng, Pin-Yu Chen, Lam Nguyen, Mark Squillante, Akhilan Boopathy, Ivan Oseledets, Luca Daniel

NeurIPS 2019 Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD Phuong_Ha Nguyen, Lam Nguyen, Marten van Dijk

ICML 2018 SGD and Hogwild! Convergence Without the Bounded Gradients Assumption Lam Nguyen, Phuong Ha Nguyen, Marten Dijk, Peter Richtarik, Katya Scheinberg, Martin Takac