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Author Information
Quoc Tran-Dinh (The University of North Carolina at Chapel Hill)
Nhan H Pham (University of North Carolina at Chapel Hill)
I am a 3rd year PhD student in Operations Research in Department of Statistics and Operations Research at University of North Carolina at Chapel Hill. I am currently working on stochastic methods for non-convex optimization with applications in machine learning, deep learning, and reinforcement learning under supervision by Dr. Quoc Tran-Dinh. In addition, I am also collaborating with Dr. Lam M. Nguyen and Dr. Dzung T. Phan at IBM Thomas J. Watson Research Center. I come from Vietnam where I had my bachelor in Computer Engineering from Department of Computer Science and Engineering, Ho Chi Minh City University of Technology (Bach Khoa University). During my undergrad, I was a member of BKIT Hardware Club and participated in the Vietnam Robot Contest under BK4/BKIT Number One team in 2013. My hobbies are travelling with my wife and exploring new places.
Lam Nguyen (IBM Research, Thomas J. Watson Research Center)
More from the Same Authors
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2022 : Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping »
Wang Zhang · Lam Nguyen · Subhro Das · Alexandre Megretsky · Luca Daniel · Tsui-Wei Weng -
2023 Poster: ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction »
Wang Zhang · Lily Weng · Subhro Das · Alexandre Megretsky · Luca Daniel · Lam Nguyen -
2022 Poster: Nesterov Accelerated Shuffling Gradient Method for Convex Optimization »
Trang Tran · Katya Scheinberg · Lam Nguyen -
2022 Spotlight: Nesterov Accelerated Shuffling Gradient Method for Convex Optimization »
Trang Tran · Katya Scheinberg · Lam Nguyen -
2021 Poster: SMG: A Shuffling Gradient-Based Method with Momentum »
Trang Tran · Lam Nguyen · Quoc Tran-Dinh -
2021 Spotlight: SMG: A Shuffling Gradient-Based Method with Momentum »
Trang Tran · Lam Nguyen · Quoc Tran-Dinh -
2019 Poster: Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD »
Marten van Dijk · Lam Nguyen · PHUONG_HA NGUYEN · Dzung Phan -
2019 Poster: PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach »
Tsui-Wei Weng · Pin-Yu Chen · Lam Nguyen · Mark Squillante · Akhilan Boopathy · Ivan Oseledets · Luca Daniel -
2019 Oral: Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD »
Marten van Dijk · Lam Nguyen · PHUONG_HA NGUYEN · Dzung Phan -
2019 Oral: PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach »
Tsui-Wei Weng · Pin-Yu Chen · Lam Nguyen · Mark Squillante · Akhilan Boopathy · Ivan Oseledets · Luca Daniel -
2018 Poster: SGD and Hogwild! Convergence Without the Bounded Gradients Assumption »
Lam Nguyen · PHUONG_HA NGUYEN · Marten van Dijk · Peter Richtarik · Katya Scheinberg · Martin Takac -
2018 Oral: SGD and Hogwild! Convergence Without the Bounded Gradients Assumption »
Lam Nguyen · PHUONG_HA NGUYEN · Marten van Dijk · Peter Richtarik · Katya Scheinberg · Martin Takac -
2017 Poster: SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient »
Lam Nguyen · Jie Liu · Katya Scheinberg · Martin Takac -
2017 Talk: SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient »
Lam Nguyen · Jie Liu · Katya Scheinberg · Martin Takac