Research Areas

• Machine Learning and AI
• High-Dimensional Statistics and Computation
• High-Dimensional Probability and Theoretical CS

Recent Manuscripts and Publications

Software or Toolkit

• Toolkit for Reinforcement Learning Algorithms

Courses

• Theoretical Machine Learning, Spring 2022/2024
• Theoretical Statistics (数理统计), Fall 2023
• High-Dimensional Probability, Fall 2020 & Fall 2021
• Statistical Thinking (统计思维), Spring 2021
• Theoretical Topics in Machine Learning, Spring 2020
• Reinforcement Learning: Theory and Algorithms, Spring & Fall 2018
• Deep Learning, Spring 2018
• Bayesian Analysis and Compuation, Fall 2017
• An Introduction to Statistical Machine Learning, Spring 2014 (课程视频) (网易云课堂)
• Foundations of Machine Learning, Spring 2014 (课程视频) (网易云课堂)

Lectures and Talks

• The Singular Value Decomposition, Applications, and Beyond (PDF)
• Dirichlet Processes, Dependent Dirichlet Processes,and Applications in Machine Learning (PDF)
• The Laplace Transform with Applications in Machine Learning (PDF)
• Randomized Numerical Linear Algebra: Review and Progresses (PDF)

Essays

• 学科建设与人才培养之我见(阅读全文)
• 现代人工智能的本质、途径和方向(阅读全文)
• 关于我国人工智能发展现状的分析和建议 (阅读全文)
• 现代人工智能的本质、技术和途径 (阅读全文)
• 唯思想永恒 ---《人工智能：现代方法》译者代序 (阅读全文)
• 深度强化学习序言:格物致知，知行合一 (阅读全文)
• 概率统计和理论计算机科学的汇合共进 (阅读全文)
• 统计之都访谈--孤峰顶上求大道,红尘浪里取乾坤 (阅读访谈)
• 现代统计学培养体系与路线图 (阅读全文)
• 数学工程---推动数学应用的枢纽 (阅读全文)
• 采菊东篱下悠然见南山---机器学习的实与境 (阅读全文)
• 所造之境必合乎自然---探讨数据科学和人工智能的学科发展 (阅读全文)
• 青山遮不住毕竟东流去 ---《深度学习》译者代序 (阅读全文)
• 关于机器学习的领悟与反思 (阅读全文)
• 机器学习：统计与计算之恋 (阅读全文)
• 教学之感悟 (阅读全文) (中国计算机学会通讯第11卷第12期)
• COS访谈第十九期 (阅读访谈)