Publications
Journal Papers
Proximal Oracles for Optimization and Sampling [pdf]
Jiaming Liang and Yongxin Chen
Journal of Optimization Theory and Applications, 208(110), 2026
Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization [pdf]
Vincent Guigues, Jiaming Liang, and Renato D.C. Monteiro
Journal of Optimization Theory and Applications, 208(112), 2026
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of
-Mutual Information [pdf] Jiaming Liang, Siddharth Mitra, and Andre Wibisono
IEEE Transactions on Information Theory, 72(2):921–945, 2026
Primal-dual proximal bundle and conditional gradient methods for convex problems [pdf]
Jiaming Liang
Mathematical Programming, 2025
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
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method [pdf]
Jiaming Liang
2026 Algorithmic Learning Theory (ALT)
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)
Preprints
Improved Analysis of Restarted Accelerated Gradient and Augmented Lagrangian Methods via Inexact Proximal Point Frameworks [pdf]
Matthew X. Burns and Jiaming Liang, arXiv:2602.17878, 2026
Constrained and Composite Sampling via Proximal Sampler [pdf]
Thanh Dang and Jiaming Liang, arXiv:2602.14478, 2026
GFORS: GPU-Accelerated First-Order Method with Randomized Sampling for Binary Integer Programs [pdf]
Ningji Wei and Jiaming Liang, arXiv:2510.27117, 2025
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
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
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]