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 Chicago Title: Shape-Constrained Inference in Function-on-Scalar Regression Models Abstract: As data size and...
Speaker: Philip Lo, University of Chicago 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...
Title: Walsh Functions and Spaces Speaker: Aleksei Sorokin, Illinois Institute of Technology Abstract: The Fourier series expands a periodic function into a sum of trigonometric functions. For smooth...
Speaker: Yuehaw Khoo, assistant professor of statistics, University of Chicago Title: Randomized Tensor-Network Algorithms for Random Data in High-Dimensions Abstract: Tensor-network ansatz has long...
Speaker: Srinivas Eswar, Argonne National Laboratory Title: Randomized Approaches for Optimal Experimental Design Abstract: This work describes connections between optimal experiment design (OED) for...
Speaker: Onyekachi (Osisiogu) Emenike Title: Generalized Tractability for Approximation Problems Defined on Hilbert Spaces Abstract: The information complexity of a problem is the number of function...
