Talks & Notes

Invited Talks

• Efficient and Resilient Algorithms for Stochastic Optimization & Reinforcement Learning
  University of Utah, 2024.
• Bridging Practical Needs and Theoretical Analysis of Machine Learning Algorithms
  Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), 2023.
• Towards Understanding Reinforcement Learning from Optimization Perspectives
  Baidu USA, 2021.

Notes

• The Solution to a Special Upper-Triangular Toeplitz System
  A side result in my research on robust V-learning.
• Freedmans Inequality for Arbitrary Dependent Data
  A side result in my research on dependent data optimization.
• Semi-Cyclic Gradient Descent Outperforms Federated Averaging with Sufficiently Small Learning Rate
  Course Project.
• Notes on Financial Modeling
  Course Notes.
• Notes on Reinforcement Learning
  Course Notes.
• Statistical Theory Notes
  Course Notes.
• Notes on Dynamical Systems
  Course Notes.

Courses Slides

• Notes on Actuarial Statistics
  TA Course Slides. PSTAT 172A.
• Survival Analysis
  TA Course Slides. PSTAT 175.
• Introduction to XGBoost
  Undergraduate Course Slides.