8月2日
研討會, 演講, 講座
Department of Chemistry Seminar - α-Carbonyl Functionalizations from Sulfoxonium Ylides and Diazo Compounds
Speaker: Professor Antonio C. B. BURTOLOSO
Institution: Chemistry Institute, the University of São Paulo (São Carlos Campus), Brazil
Hosted By: Professor Jianwei SUN
8月1日
研討會, 演講, 講座
Department of Chemistry Seminar - Palladium-Catalyzed Oxidation Reactions of Unsaturated Bonds
Speaker: Professor Huanfeng JIANG
Institution: School of Chemistry and Chemical Engineering, South China University of Technology, China
Hosted By: Professor Jianwei SUN
7月26日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Tackling high dimensional challenges in scientific computing (part 3)
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
7月26日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Capillary folding of thin elastic sheets
Capillary folding is the process of folding planar objects into three-dimensional (3D) structures using capillary force. We propose a 3D model for the capillary folding of thin elastic sheets with pinned contact lines.
7月26日
研討會, 演講, 講座
Department of Mathematics - IEDA/MATH Joint Seminar - Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Offline policy learning aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn the optimal individualized decision rule in a given class.
7月26日
研討會, 演講, 講座
Department of Industrial Engineering & Decision Analytics [Joint IEDA / MATH Seminar] - - Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Offline policy learning aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn the optimal individualized decision rule in a given class.
7月25日
研討會, 演講, 講座
Department of Mathematics - Seminar on Scientific Computation - A dual-space multilevel kernel-split framework for discrete and continuous convolution Part I: A detailed discussion on the 3D Laplace kernel
We introduce a new class of multilevel, adaptive, dual-space methods for computing fast convolutional transforms.