Speaker: Minshen Xu, Ph.D. candidate, University of Massachusetts Amherst Title: Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input Abstract: Gaussian process (GP)...
Speaker: Fred J. Hickernell, Department of Applied Mathematics, Illinois Institute of Technology Title: Adaptive Algorithms where Input Functions Lie in Cones Abstract: Adaptive numerical algorithms...
Speaker: Aleksei Sorokin, Ph.D. student, Illinois Institute of Technology Title: A Neural Surrogate Solver for Radiation Transfer Abstract: Radiative transfer is often the dominant mode of heat...
Speaker: Jiangrui Kang, Ph.D. candidate, Illinois Institute of Technology Title: Convexification of Maximum Mean Discrepancy and Further Topics Abstract: This time I will introduce the trick proposed...
Speaker: Jiangrui Kang, Ph.D. candidate, Illinois Institute of Technology Title: Representative and Diverse Subdata Selection for Semi-supervised Learning and Beyond Abstract: Semi-Supervised Learning...
Speaker: Houman Owhadi, professor of applied and computational mathematics and dynamical systems, California Institute of Technology Title: Co-Discovering Graphical Structure and Functional...
Speaker: Nathan Kirk, senior research associate, Illinois Institute of Technology Title: What Can Machine Learning do for Quasi-Monte Carlo Methods (and visa versa)? Abstract: This talk presents the...
Speaker: Kyunghee Han, assistant professor of mathematics, University of Illinois µç³µÎÞÂë Title: Shape-Constrained Inference in Function-on-Scalar Regression Models Abstract: As data size and...
Speaker: Philip Lo, University of µç³µÎÞÂë Title: The Sample Complexity of Noisy Curve Recovery Abstract: We consider the problem of recovering a high dimensional curve from noisy observations. In the...
Speaker: Deqian Kong, Ph.D. candidate University of California Los Angeles Title: Top-down Latent Space Generative Models for Optimization and Planning Abstract: In this talk, we explore recent...
