Talks
|
Online Fisher Markets
(March 4 2024, @Purdue) |
|
Recent Computational Progress on Linear Programming Solvers
and
Video
(February 14 2024, @Stanford LA/OPT) |
|
"Open Questions on the Markov Decision/Game
Process" - Talk in Optimization and Algorithm Design (November 29 2023, @Berkeley SIMONS) |
| "Beyond Classical Fisher Markets:
Non-convexity and Uncertainty" - Talk in Algorithms, Approximation, and Learning in Market and Mechanism Design (November 7 2023, @Berkeley MSRI) |
| Simons Institute Boot-Camp Interior-Point-Methods Part II (September 1 2023, @Berkeley) |
| Simons Institute Boot-Camp Interior-Point-Methods Part I (September 1 2023, @Berkeley) |
| Optimal Diagonal Preconditioner: Theory and Practice (August 23 2023, @ICIAM Tokyo) |
| An Alternative to the Newton Step:
Homogeneous Second-Order Descent
Framework (August 18 2023, @WOEC Hong Kong) |
| Online Equilibrium Pricing for Stochastic Fisher Markets (August 17 2023, @Macau) |
| AI Models and OR Math Optimization (August 11 2023, @Beijing) |
| Math Optimization in Machine-Learning/Dacision-Making (June 30 2023, @HangZhou) |
| SOLNP+: A Zero-Order Optimization Solver (June 24 2023, @ICMSEC) |
| Recent Developments on Optimization
Algorithms and Applications (June 21 2023, @SEM-UCAS) |
| Online Linear Programming:
Applications and Extensions (June 20 2023, @SEM-UCAS) |
| An Alternative to the Newton Step: Homogeneous Second-Order Descent Method (June 2 2023, @SIOPT) |
| Fast Potential Reduction for LP and its Applications (May 31 2023, @SIOPT) |
| SOLNP+: A Derivative-Free Solver for Nonlinear Constrained Programming (May 24 2023, @CUHKSZ) |
| Recent Developments on Optimization Algorithms and Applications (May 11 2023, @NJU) |
| Mathematical Optimization in Machine
Learning/Decision-Making (April 06 2023, @CUHKSZ) |
| Online Equilibrium Pricing for
Stochastic Fisher Markets (March 31 2023, @PKU) |
| Optimization in Data Science and Machine
Learning/Decision-Making (March 23 2023, @SUST) |
| Optimization in Data Science and Machine
Learning/Decision-Making (March 17 2023, @AnTai, SJTU) |
| Mathematical Optimization in Data Science and Machine
Learning/Decision-Making (March 3 2023, @HKUSTGZ, Infor Hub Distinguished Lecture) |
| Accelerated Second-Order Methods for Convex and Nonconvex Optimization (December 17 2022, @MIIS, CUHKSZ) |
| Recent Developments on (Practical)
Optimization Methods for Convex and
Nonconvex Optimization (November 10 2022, @Georgia Tech) |
| Dimension-Reduced Second-Order and Steepest Descent Methods for Optimization(November 1 2022, @ISE, Lehigh U) |
| Mathematical Optimization for Machine Learning and Decision(October 18 2022, @HKU Science) |
| Large-Scale Convex and Nonconvex Optimization in Data Science(October 14 2022 @CUHK) |
| Online Linear Programming: Applications and
Extensions(October 6 2022 @CUHK) |
| DRSOM: A Dimension-Reduced Second-Order Method for Machine and Deep Learning(September 29 2022 @HKUST) |
| DRSOM: A Dimension-Reduced Second-Order Method for Nonconvex Optimization(September 19 2022 @Hong Kong PolyU) |
| New Developments of Computational Algorithms for Convex and Nonconvex Optimization(August 23 2022 @Institute of Mathematics, Hanoi) |
| Online Linear Programming: Applications and
Extensions(August 15 2022, ISMP Plenary talk) |
| New Developments of Computational Algorithms for Convex and Nonconvex Optimization(July 7 2022 @S3 Optimization Workshop, NUS) |
| Geometric Aggregation of the Social Welfare in Online
Resource Allocatio (June 21 2022 @Nanjing U) |
| Online LP: new applications and extensions (June 20 2022 @City U of HK) |
| Multi-Block ADMM and its Applications (May 19 2022 @U of Edinburgh) |
| Online Fisher Market in Online Resource Allocation(May 4 2022 @U of Chicago) |
| Geometric Aggregation of the
Social Welfare Function in
Resource Allocation (April 2022 @UCI) |
| Online Learning via Linear Programming (December 2021) |
| Online Learning, Social Values and
Ethical Issues in Manufacturing and
Services Operations Management (December 2021) |
| Recent Developments of Online Linear
Programming (November 2021) |
| Multi-Block ADMM - Managing
Randomness and Data Privacy in
Optimization Algorithm Design (July 2021) |
| From 0.618 to Mathematical Optimization (June 2021) |
| An Efficient Steepest Descent Projection Method
for Sensor Network Tracking (May 2021) |
| Bandits with Knapsacks via Online Linear
Programming: A (Problem-Dependent) Logarithmic
Regret Bound (Janurary 2021) |
| Optimization and Operations Research in
Mitigation of a Pandemic (July 2020) |
| Distributionally Robust Optimization, Online
Linear Programming and Markets for
Public-Good Allocations (June 2020) |
| Optimization and Operations Research in
Mitigation of a Pandemic (May 2020) |
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