AI2Healthcare Weekly Online Meeting, Mar 2023 (invited), Statistical Inference in Reinforcement Learning Youtube link here
Computational Statistics and Machine learning Seminar at Oxford, Department of Statistics, Oxford, UK, Feb 2023 (invited), Statistical Inference in Reinforcement Learning
Seminar at Stanford, Department of Statistics, Palo Alto, CA, USA, Jan 2023 (invited), Statistical Inference in Reinforcement Learning
Seminar at Yunnan University, School of Mathematics and Statistics, Yunnan, China, Dec 2022 (invited), Statistical Inference in Reinforcement Learning
CMStatistics, London, UK, Dec. 2022 (invited), Doubly Inhomogeneous Reinforcement Learning
Seminar at Xiamen University, School of Economics and Management, Xiamen, China, Nov 2022 (invited), Statistical Inference in Reinforcement Learning
Conference on “Statistical challenges and new solutions for large-scale complex data”, Yunnan, China, Nov 2022 (invited), Reinforcement Learning in (Doubly) Inhomogeneous Environment
Seminar at Shandong University Institude for Financial Studies, Shandong, China, Nov 2022 (invited), Reinforcement Learning in Possibly Nonstationary Environment
Seminar at Prof. Kosorok’s Lab, University of North Carolina, Chapel Hill, NC, USA, Nov 2022 (invited), Policy Evaluation in Reinforcement Learning
Seminar at SHUFE, School of Statistics, Shanghai, China, Nov 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at Tianyuan Mathematical Center in Central China, Wuhan University, Wuhan, China, Nov 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at China East Normal University, School of Statistics, Shanghai, China, Oct 2022 (invited), Testing Mediation Effects using the Logic of Boolean Matrices
Seminar at China East Normal University, School of Statistics, Shanghai, China, Oct 2022 (invited), Reinforcement Learning in Possibly Nonstationary Environment
Seminar at University of Science and Technology of China, School of Management, Hefei, China, Oct 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at China East Normal University, School of Statistics, Shanghai, China, Oct 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at University of Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China, Sep 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at Peking University, Center for Statistical Science, Beijing, China, Aug 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at Tsinghua University, Center for Statistical Science, Beijing, China, Aug 2022 (invited), Statistical Inference in Reinforcement Learning
JSM Meeting, DC, US, Aug. 2022 (invited), Reinforcement Learning in Possibly Nonstationary Environment
Seminar at the University of Hong Kong, HK, China, Aug 2022 (invited), Reinforcement Learning in Nonstationary Environment
ICSA Meeting, Xi’an, Shaanxi, China, July 2022 (invited), Double Generative Adversarial Networks for Conditional Independence Testing
The 2022 Annual Meeting of IMS, London, UK, June 2022 (invited), A Reinforcement Learning Framework for A/B Testing
Stat seminar at Shanghai University of International Business and Economics, Shanghai, China, June 2022 (invited), Statistical Inference in Reinforcement Learning
EcoSta 2022, Tokyo, Japan, June 2022 (invited), A Reinforcement Learning Framework for A/B Testing
Seminar at coreAI Science Talk Series, Amazon, Online, May 2022 (invited), Statistical Inference in Reinforcement Learning
Seminar at the Duke Reinforcement Learning Group, Durham, NC, US, April 2022 (invited), Reinforcement Learning in Possibly Nonstationary Environment
Stat Seminar at University of Massachusetts Amherst, MA, US, Mar. 2022 (invited), Statistical Inference in Reinforcement Learning
Online Causal Inference Seminar, Mar. 2022 (invited), A Reinforcement Learning Framework for A/B Testing Youtube link here
Seminar at Shandong University Institude for Financial Studies, Shandong, China, Mar. 2022 (invited), Statistical Inference in Reinforcement Learning
Stat seminar at the Australian National University, Canberra, Australia, Mar. 2022 (invited), Statistical Inference in Reinforcement Learning
Biostat Seminar at the University of California, Berkeley, CA, USA, Jan. 2022 (invited), Statistical Inference in Reinforcement Learning
Applied Reinforcement Learning (ARL) Seminar, Online, Jan. 2022 (invited), Statistical Inference in Reinforcement Learning Youtube link here Bilibili link here
Stat seminar at the University of Warwick, Coventry, UK, Nov. 2021 (invited), Statistical Inference in Reinforcement Learning
INFORMS Annual Meeting, Online, Oct. 2021 (invited), Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
European Young Statisticians Meeting, Online, Sep. 2021 (invited), Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
EuroCIM, Online, Sep. 2021, Testing Mediation Effects Using Logic of Boolean Matrices
JSM, Online, Aug. 2021 (invited), Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning
Conference of “Statistical learning methods in modern AI” (invited), Xi’an, China, June. 2021 (invited), Does the Markov Decision Process Fit the Data? Testing for the Markov Property in Sequential Decision Making
Stat seminar at the University of Hong Kong, Hong Kong, China, June. 2021 (invited), Statistical Inference in Reinforcement Learning
Seminar at Purdue Reinforcement Learning Group, West Lafayette, USA, April. 2021 (invited), Statistical Inference in Reinforcement Learning
CMStatistics, London, UK, Dec. 2020 (invited), Does the Markov Decision Process Fit the Data? Testing for the Markov Property in Sequential Decision Making
Applied Reinforcement Learning (ARL) Seminar, Online, Nov. 2020 (invited), Discussion on “Statistically Efficient Offline Reinforcement Learning” Youtube link here Bilibili link here
Stat seminar at Fudan University, Shanghai, Aug. 2020 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
JMS, Philadelphia, PA, USA, Aug. 2020, Does the Markov Decision Process Fit the Data? Testing for the Markov Property in Sequential Decision Making
EEE seminar at Imperial College London, London, UK, Feb. 2020 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
Stat seminar at University of Cambridge, Cambridge, UK, Feb. 2020 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
Stat seminar at SHUFE, Shanghai, China, Jan. 2020 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
ICSA, Hangzhou, Zhejiang, China, Dec. 2019 (invited), Statistical inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings
Biostat seminar at NCSU, Raleigh, NC, USA, Nov. 2019 (invited), On Testing Overall/Conditional Qualitative Treatment Effects
Stat seminar at University of York, York, UK, Oct. 2019 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
Stat seminar at Shanghai University of International Business and Economics, Shanghai, China, Aug. 2019 (invited), On Statistical Learning for Individualized Decision Making with Complex Data
JSM, Denver, CO, USA, Aug. 2019 (invited), A Sparse Random Projection-based Test for Overall Qualitative Treatment Effects.
ICSA, Raleigh, NC, USA, June. 2019 (invited), A Sparse Random Projection-based Test for Overall Qualitative Treatment Effects.
Biostat seminar at NCSU, Raleigh, NC, USA, Sep. 2018 (invited), On Statistical Learning for Individualized Treatment Regime.
Poster presentation at NCSU Graduate Student Research Symposium, NC, USA, 2018, Maximin-Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects.
JSM, Baltimore, MD, USA, 2017, On Testing Conditional Qualitative Treatment Effects.
JSM, Chicago, IL, USA, 2016, Minimax-Angle Learning for Optimal Treatment Decision with Heterogeneous Data.
ENAR, Austin, TX, 2016, High Dimensional A-learning for Optimal Treatment Regime.