7月18日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
In this paper, we propose a robust policy evaluation algorithm in reinforcement learning, to feature outlier contamination and heavy-tailed reward distributions. We further develop a fully-online method to conduct statistical inference for the modeling parameters.
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7月13日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Sharp Interface Limit for Compressible Immiscible Two-Phase Dynamics with Relaxation
In this talk, the  compressible immiscible two-phase flow with relaxation is investigated, this model can be regarded as a natural modification of Jin-Xin relaxation scheme proposed and developed by S.Jin and Z.P.Xin([Comm.Pure Appl.Math., 48,1995]) in vi
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7月12日
研討會, 演講, 講座
Department of Chemistry Seminar - Insights into Scientific Publishing and Writing Tips
Speaker: Dr. Natalie Lok Kwan LI Institution: Associate Editor, Nature Communications Hosted By: Professor He YAN   Abstract
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7月12日
研討會, 演講, 講座
Department of Chemistry - PhD Student Seminar - Metal Complexes for Blue Organic-light-emitting Diodes (OLEDs) Emitters
Student: Mr. Junli YIN Department: Department of Chemistry, HKUST Supervisors: Professor He YAN
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7月12日
研討會, 演講, 講座
Physics Department - Locomotion of Flagellated Bacteria: From the Swimming of Single Bacteria to the Collective Motion of Bacterial Swarm
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7月11日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics -Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
The invariant distribution, which is characterized by the stationary Fokker-Planck equation, is an important object in the study of randomly perturbed dynamical systems.  Traditional numerical methods for computing the invariant distribution based on the Fokker-Planck e
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7月10日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Tackling high dimensional challenges in scientific computing (part I)
In this mini-series of talks, we will survey some recent advances in utilizing advances in machine learning to help tackle challenging tasks in scientific computing, focusing on numerical methods for solving high dimensional partial differential equations and high dimensio
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7月10日
研討會, 演講, 講座
Department of Chemistry Seminar - Computational electrochemistry from AIMD to AI²MD
Speaker: Professor Jun CHENG Institution: State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Hosted By: Professor Ding PAN Abstract
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