Computational Optimization Group Meetings

Approximate Dynamic Programming

Aug 2025

8-8-2025

Zhuodong

Introduction to Approximate Dynamic Programming [slides]

22-8-2025

Break :(

29-8-2025

Shaohang

Functional Nonlinear Model Predictive Control

Based on Adaptive Dynamic Programming [slides]

2-9-2025

Break :(

9-9-2025

Ling

Defense Preparation [slides]

16-9-2025

Shu

Bayesian Exploration for Approximate Dynamic Programming [slides]

23-9-2025

Wen1

On-Demand Delivery from Stores Dynamic Dispatching and Routing with Random Demand [slides]

30-9-2025

Wen2

On-Demand Delivery from Stores Dynamic Dispatching and Routing with Random Demand & Bender Decomposition [slides]

14-10-2025

Wenfu

A Low-rank Approximation for MDPs via Moment Coupling [slides]

21-10-2025

Yuqi

Inpatient Overflow: An Approximate Dynamic Programming Approach [slides]

28-10-2025

Gabriel

Optimistic Planning by Regularized Dynamic Programming [slides]

Two-Stage Problems

Feb 2025 - Aug 2025

21-2-2025

Wen

Introduction to Stochastic Programming [slides]

14-3-2025

Zhuodong

Optimization-Based Scenario Reduction for Data-

Driven Two-Stage Stochastic Optimization [slides]

21-3-2025

28-3-2025

Qiuhao

Adaptive Two-Stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem

11-4-2025

Ling

Two-Stage Sample Robust Optimization [slides]

18-4-2025

Wen

Defense Preparation [slides]

2-5-2025

Break :(

16-5-2025

23-5-2025

Shu

Supermodularity in Two-Stage Distributionally Robust Optimization [slides]

6-6-2025

Ellen

Neur2RO: Neural Two-Stage Robust Optimization [slides]

20-6-2025

Zhuodong

Defense Preparation [slides]

27-6-2025

Gabriel

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization [slides]

11-7-2025

Ling

INFORMS Preparation [slides]

11-7-2025

Ellen

INFORMS Preparation [slides]

25-7-2025

Yuqi

On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs [slides]

Adversarial Training

Oct 2024 - Feb 2025

24-10-2024

Gabriel

Recent Advances in Adversarial Training for Adversarial Robustness [slides]

7-11-2024

Break :(

14-11-2024

Break :D

21-11-2024

Wen

Certifying Some Distributional Robustness with Principled Adversarial Training [slides]

28-11-2024

Yuqi

Adversarial Training Helps Transfer Learning via Better Representations [slides]

5-12-2024

Talk Practice

12-12-2024

Ling

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle [slides]

2-1-2025

Zhuodong

Adversarial Training for Free! [slides]

24-1-2025

Shu

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training [slides]

7-2-2025

Ellen

Large-Scale Adversarial Training for Vision-and-Language Representation Learning [slides] [record]

Federated Learning

Aug-Oct 2024

2-8-2024

Shu

A Survey of Federated Learning [slides]

Adrian

Week 4 [slides]

16-8-2024

Wen

Communication-Efficient Adaptive Federated Learning [slides]

23-8-2024

Zhuodong

Towards Personalized Federated Learning via

Heterogeneous Model Reassembly [slides]

30-8-2024

Yuqi

Robust Aggregation for Federated Learning [slides]

6-9-2024

Ling

ProxSkip: Local Gradient Steps Provably Lead to Communication Acceleration [slides]

13-9-2024

19-9-2024

Ellen

Generalized Federated Learning via Sharpness Aware Minimization [slides]

26-9-2024

Shaohang

Server User Guide [slides]

3-10-2024

Gabriel

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning [slides - 1.0]

10-10-2024

Gabriel

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning [slides - 2.0]

Contextual Optimization

Apr-Aug 2024

12-4-2024

Yuqi

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty [slides]

26-4-2024

Break :D

3-5-2024

Wen

Predict-then-Calibrate: A New Perspective of Robust Contextual LP [slides]

10-5-2024

Break :D

17-5-2024

Ling

Fast Rates for Contextual Linear Optimization [slides]

24-5-2024

Break :(

31-5-2024

Break :D

7-6-2024

Break :(

14-6-2024

Zhuodong

Conformal Contextual Robust Optimization [slides]

21-6-2024

28-6-2024

Shu

From Predictive to Prescriptive Analytics [slides]

5-7-2024

Ellen

Decision Trees for Decision-Making under the Predict-then-Optimize Framework [slides]

12-7-2024

Gabriel

Contextual Uncertainty Sets in Robust Linear Optimization [slides]

Adrian

Week 1 [slides]

19-7-2024

Adrian

Week 2 [slides]

26-7-2024

Shaohang

Predict+Optimize for Packing and Covering LPs with

Unknown Parameters in Constraints [slides]

Adrian

Week 3 [slides]

Multi-Agent Reinforcement Learning

Jan-Mar, 2024

30-11-2023

Ellen

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms [slides]

21-12-2023

Break :(

28-12-2023

Qiuhao

Multi-Agent Reinforcement Learning: Game Perspective, Chanllenges, and Visionary Prospects [slides]

04-01-2024

Shaohang

Robust Multi-Agent Reinforcement Learning via

Adversarial Regularization [slides]

11-01-2024

Break :(

18-01-2024

Haolin

Mean Field Multi-Agent Reinforcement Learning [slides]

23-02-2024

Wen

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning [slides]

01-03-2024

Shu

Reinforcement Learning for Mean Field Games with Strategic Complementarities [slides]

08-03-2024

Ling

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning [slides]

15-03-2024

Zhuodong

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning [slides]

22-03-2024

Yuqi

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents [slides]

Branch-and-Bound Algorithms

Aug-Oct, 2023

18-8-2023

Ling

Branch-and-Bound Algorithms: A Survey of Recent Advances in Searching, Branching, and Pruning [slides]

25-8-2023

Break :D

1-9-2023

Break :(

07-9-2023

Break :D

14-9-2023

Zhuodong

Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded [slides]

21-9-2023

Yuqi

A Branch-and-Bound Approach to the Traveling Salesman Problem with a Drone [slides]

28-9-2023

Wen

Exact Algorithms for the Vehicle Routing Problem with Time Windows and Combinatorial Auction [slides]

05-10-2023

Shaohang

Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk [slides]

12-10-2023

Haolin

Branch and Bound Algorithms for the Bus Evacuation Problem [slides]

19-10-2023

Break :(

26-10-2023

Break :D

2-11-2023

Ellen

Exact Combinatorial Optimization with Graph Convolutional Neural Networks [slides]

Model Based Reinforcement Learning

Jun-Aug, 2023

16-6-2023

Zhuodong

Model-based Reinforcement Learning: A Survey [slides]

23-6-2023

Haolin

Policy Gradient Methods for Reinforcement Learning with Function Approximation [slides]

30-6-2023

Ling

Model-Based Reinforcement Learning with Value-Targeted Regression [slides]

7-7-2023

Qiuhao

A Game Theoretic Framework for Model Based Reinforcement Learning [slides]

14-7-2023

Shaohang

Safe Exploration in Model-Based Reinforcement Learning using Control Barrier Functions [slides]

21-7-2023

Yuqi

Adaptive Discretization for Model-Based Reinforcement Learning [slides]

28-7-2023

Break :D

4-8-2023

Wen

Model-Based Reinforcement Learning for Atari [slides]

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