On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh. AAAI 2024 Oral.

Layer-wise Quantization for Distributed Variational Inequalities
Anh Duc Nguyen, Ilia Markov, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher. Machine Learning and Compression Workshop, NeurIPS 2024.

Layer-wise Quantization for Quantized Optimistic Dual Averaging
Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher. ICML 2025.

Improved Rates for Stochastic Variance-Reduced Difference-of-Convex Algorithms
Anh Duc Nguyen, Alp Yurtsever, Suvrit Sra, Kim-Chuan Toh. IEEE CDC 2025.

Almost Sure Convergence of Nonlinear Stochastic Approximation Under General Moment Condition
Anh Duc Nguyen, Quang Nguyen, Hoang H. Nguyen, Siva Theja Maguluri. MLxOR Workshop, NeurIPS 2025.

Almost Sure Convergence of Nonlinear Stochastic Approximation: An Interplay of Noise and Step Size
Quang Nguyen, Anh Duc Nguyen, Hoang H. Nguyen, Siva Theja Maguluri. In Submission.

Acknowledgement

Across these projects, I have received tremendous support and guidance from senior collaborators—most notably Hoang, Quang, Josh, Kimon, Ali, Alp, Chonghuan, and Wang Chi.