Talks/Poster Presentations

Talks/Presentations

• Dec. 2021: On Practical Reinforcement Learning: Provable Robustness, Scalability and Statistical Efficiency, University of Michigan, USA

• Nov. 2021: Offline Neural Contextual Bandits: Pessimism, Optimization, and Generalization, at NeurIPS’21 Workshop on Offline Reinforcement Learning

• Aug. 11, 2021: Generalization and Optimization in Deep Learning: Over-parameterization and Interpolation, in Sample-Efficient AI Group Reading, A2I2. [Slides]

• Jul. 25, 2021: Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks at ICML Workshop on Reinforcement Learning Theory.

• Jul. 7-15, 2021: Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks at EEML’21, Budapest, Hungary.

• Apr. 25, 2021: On Finite-Sample Analysis of Batch Reinforcement Learning with Deep ReLU Networks at Viet.Operator.Theorists.

• Feb. 5, 2021: Distributional Reinforcement Learning via Moment Matching at AAAI 2021, Vancouver, Canada.

• Aug. 26-28, 2020: Distributionally Robust Bayesian Quadrature Optimization at AISTATS 2020, Palermo, Italy

• Jun. 28-Jul. 10, 2020: Moment Matching Reinforcement Learning at MLSS 2020, Max Planck Institute for Intelligent Systems, Tübingen, Germany

• Nov. 2-7, 2017: Parametric Information Bottleneck to Optimize Stochastic Neural Networks at PACS 2017, SNU, Seoul, Korea (Best Poster Award)