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.
7月24日
研討會, 演講, 講座
Department of Mathematics - Seminar on PDE - Open problems and new directions on harmonic maps
I will describe recent progress related to harmonic maps: regularity, existence, free boundaries and qualitative properties.
7月21日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Tackling high dimensional challenges in scientific computing (part II)
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21日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Computing the Quasi-Potential and Invariant Distribution for 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.
7月21日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Christoffel transformations for (partial-)skeworthogonal polynomials and applications
In this talk, we consider the Christoffel transformations for skew-orthogonal polynomials and partial-skew-orthogonal polynomials.
瀏覽理學院過往舉辦的活動。