Publications
Preprints
Oracle-based Uniform Sampling from Convex Bodies [pdf]
Thanh Dang and Jiaming Liang, arXiv:2510.02983, 2025
Multi-cut stochastic approximation methods for solving stochastic convex composite optimization [pdf]
Jiaming Liang, Renato D.C. Monteiro, and Honghao Zhang, arXiv:2505.17463, 2025
Unifying restart accelerated gradient and proximal bundle methods [pdf]
Jiaming Liang, arXiv:2501.04165, 2025
Primal-dual proximal bundle and conditional gradient methods for convex problems [pdf]
Jiaming Liang, arXiv:2412.00585, 2024
Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization [pdf]
Vincent Guigues, Jiaming Liang, and Renato D.C. Monteiro, arXiv:2407.10073, 2024
Proximal Oracles for Optimization and Sampling [pdf]
Jiaming Liang and Yongxin Chen, arXiv:2404.02239, 2024
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method [pdf]
Jiaming Liang, arXiv:2402.08992, 2024
Proximal bundle methods for hybrid weakly convex composite optimization problems [pdf]
Jiaming Liang, Renato D.C. Monteiro, and Honghao Zhang, arXiv:2303.14896, 2023
A Doubly Accelerated Inexact Proximal Point Method for Nonconvex Composite Optimization Problems [pdf]
Jiaming Liang and Renato D.C. Monteiro, arXiv:1811.11378, 2018
Journal Papers
Client-only Distributed Markov Chain Monte Carlo Sampling over a Network [pdf]
Bo Yuan, Jiaojiao Fan, Jiaming Liang, and Yongxin Chen
Transactions on Machine Learning Research, 2025
A single cut proximal bundle method for stochastic convex composite optimization [pdf]
Jiaming Liang, Vincent Guigues, and Renato D.C. Monteiro
Mathematical Programming, 208(1):173-208, 2024.
A unified analysis of a class of proximal bundle methods for solving hybrid convex composite optimization problems [pdf]
Jiaming Liang and Renato D.C. Monteiro
Mathematics of Operations Research, 49(2):832-855, 2024.
A Proximal Algorithm for Sampling [pdf]
Jiaming Liang and Yongxin Chen
Transactions on Machine Learning Research, 2023
Average Curvature FISTA for Nonconvex Smooth Composite Optimization Problems [pdf]
Jiaming Liang and Renato D.C. Monteiro
Computational Optimization and Applications, 86(1):275-302, 2023
A Proximal Bundle Variant with Optimal Iteration-Complexity for a Large Range of Prox Stepsizes [pdf]
Jiaming Liang and Renato D.C. Monteiro
SIAM Journal on Optimization, 31(4):2955–2986, 2021
A FISTA-type accelerated gradient algorithm for solving smooth nonconvex composite optimization problems [pdf]
Jiaming Liang, Renato D.C. Monteiro, and Chee-Khian Sim
Computational Optimization and Applications, 79(3):649-679, 2021
An Average Curvature Accelerated Composite Gradient Method for Nonconvex Smooth Composite Optimization Problems [pdf]
Jiaming Liang and Renato D.C. Monteiro
SIAM Journal on Optimization, 31(1):217-241, 2021
Alice and John Jarvis Ph.D. Student Paper Competition Honorable Mention, Georgia Tech ISyE, 2021
Early Termination of Convex QP Solvers in Mixed-Integer Programming for Real-Time Decision Making [pdf]
Jiaming Liang, Stefano Di Cairano, and Rien Quirynen
IEEE Control Systems Letters, 5(4):1417-1422, 2020
Stability analysis for periodic solutions of the van der pol–duffing forced oscillator [pdf]
Jifeng Cui, Jiaming Liang, and Zhiliang Lin
Physica Scripta, 91(1):015201, 2015
Conference Papers
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of
-Mutual Information [pdf] Jiaming Liang, Siddharth Mitra, and Andre Wibisono
2025 Conference on Learning Theory (COLT)
Proximal Sampler with Adaptive Step Size [pdf]
Bo Yuan, Jiaojiao Fan, Jiaming Liang, and Yongxin Chen
2025 International Conference on Artificial Intelligence and Statistics (AISTATS)
Nesterov smoothing for sampling without smoothness [pdf]
Jiaojiao Fan, Bo Yuan, Jiaming Liang, and Yongxin Chen
2023 Conference on Decision and Control (CDC)
On a Class of Gibbs Sampling over Networks [pdf]
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, and Yongxin Chen
2023 Conference on Learning Theory (COLT)
A Proximal Algorithm for Sampling from Non-smooth Potentials [pdf]
Jiaming Liang and Yongxin Chen
2022 Winter Simulation Conference (WSC)
Early Termination of Convex QP Solvers in Mixed-Integer Programming for Real-Time Decision Making [pdf]
Jiaming Liang, Stefano Di Cairano, and Rien Quirynen
2021 American Control Conference (ACC)
A FISTA-type average curvature accelerated composite gradient method for nonconvex optimization problems [pdf]
Jiaming Liang and Renato D.C. Monteiro
12th OPT Workshop on Optimization for Machine Learning (OPT2020)
Ship roll behaviour in large amplitude beam waves [pdf]
Jiaming Liang and Zhiliang Lin
International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2015)
Patents
Rien Quirynen, Jiaming Liang, and Stefano Di Cairano. Controller with Early Termination in Mixed-Integer Optimal Control Optimization. US Patent App. 17089763. 05/05/2022. [link]