Working paper A Low-Rank ADMM Splitting Approach for Semidefinite Programming. (Posted 03/30, 2024)

Working paper Diffusion Model for Data-Driven Black-Box Optimization. (Posted 03/30, 2024)

Working paper Sample Complexity for Constrained Markov Decision Process. (Posted 03/30, 2024)

Working paper Decoupling Learning and Decision-Making: Breaking the O(\sqrt{T}) Barrier in Online Resource Allocation with First-Order Methods. (Posted 02/13, 2024)

Working paper A Tuning-Free Primal-Dual Splitting Algorithm for Large-Scale Semidefinite Programming. (Posted 02/13, 2024)

Working paper Scalable Approximate Optimal Diagonal Preconditioning. (Posted 02/13, 2024)

Working paper cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language. (Posted 02/13, 2024)

Working paper A Universal Trust-Region Method for Convex and Nonconvex Optimization. (Posted 02/13, 2024)

Working paper Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness. (Posted 02/13, 2024)

Working paper Data-driven aerodynamic shape design with distributionally robust optimization approaches. (Posted 10/25, 2023)

Working paper A Homogenization Approach for Gradient-Dominated Stochastic Optimization. (Posted 10/25, 2023)

Conference paper Solving Linear Programs with Fast Online Learning Algorithms. (Posted 10/25, 2023)

Working paper Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods. (Posted 9/1, 2023)

Working paper Blessing of High-Order Dimensionality: from Non-Convex to Convex Optimization for Sensor Network Localization. (Posted 9/1, 2023)

Working paper A Homogenization Approach for Gradient-Dominated Stochastic Optimization. (Posted 9/1, 2023)

ICML Conferenece paper Solving Linear Programs with Fast Online Learning Algorithms. (Posted 9/1, 2023)

Working paper Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching. (Posted 9/1, 2023)

Working paper A gradient descent akin method for constrained optimization: algorithms and applications. (Posted 9/1, 2023)

Working paper DIMENSION-REDUCED ADAPTIVE GRADIENT METHOD. (Posted 9/1, 2023)

Working paper A Riemannian Dimention-reduced Second Order Method with Application in Sensor Network Localization. (Posted 4/20, 2023)

Working paper Stochastic Dimension-reduced Second-order Methods for Policy Optimization. (Posted 1/28, 2023)

Working paper A Homogenous Second-Order Descent Method for Nonconvex Optimization. (Posted 11/15, 2022)

Working paper Optimal Diagonal Preconditioning: Theory and Practice. (Posted September 19, 2022)

Working paper SOLNP+: A Derivative-Free Solver for Constrained Nonlinear Optimization. (Posted October 19, 2022)

Working paper New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming. (Posted October 19, 2022)

Working paper HDSDP: Software for Semidefinite Programming. (Posted October 19, 2022)

Working paper How Small Amount of Data Sharing Benefits Distributed Optimization and Learning. (Posted October 19, 2022)

Working paper DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses. (Posted October 19, 2022)

Working paper Online Learning in Fisher Markets: Static Pricing Limits and Adaptive Enhancements. (Posted October 19, 2022)

Working paper Fairer LP-based Online Allocation via Analytic Center. (Posted October 19, 2022)

Working paper Online Allocation Rules in Display Advertising. (Posted October 19, 2022)

Working paper Sparse Portfolio Selection via Quasi-Norm Regularization. (Posted October 19, 2022)

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