Speaker: Fred Hickernell, professor of applied mathematics, ÐÓ°ÉÔ´´ Tech Title: Low Discrepancy Drop-In Replacements for IID Abstract: Low discrepancy (LD) sequences facilitate faster convergence for...
Speaker: Yifei Xiong,Ph.D. candidate, Purdue University Title: Inference from Privatized Data: Data Augmentation MCMC and Flow-Based Posterior Approximation Abstract: Differential privacy enables data...
Speaker: Pingan He , Ph.D. candidate, Beijing Normal-Hong Kong Baptist University Title: Representative Points of Meta Distributions and Their Applications Abstract: Modeling multivariate dependence...
Speaker: Nathan Kirk, ÐÓ°ÉÔ´´ Tech Title: Quasi-Monte Carlo Methods and Combinatorial Discrepancy Abstract: Quasi-Monte Carlo (QMC) methods offer deterministic accuracy improvements over standard...
Speaker: Aleksei Sorokin, ÐÓ°ÉÔ´´ Tech Title: Scientific Machine Learning for Exact Recovery of Nonlinear PDEs Abstract: Nonlinear partial differential equations (PDEs) with random coefficients arise...
Speaker: Nathan Kirk, senior research associate of applied mathematics, ÐÓ°ÉÔ´´ Tech Title: Quasi-Monte Carlo Methods and Combinatorial Discrepancy Abstract: Quasi-Monte Carlo (QMC) methods offer...
Speaker: Fred J. Hickernell, professor of applied mathematics, ÐÓ°ÉÔ´´ Tech Title: The Quality of Lattice and Kronecker Sequences Abstract: Computational Mathematics
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, ÐÓ°ÉÔ´´ Institute of Technology Title: Adaptive Algorithms where Input Functions Lie in Cones Abstract: Adaptive numerical algorithms...
Speaker: Aleksei Sorokin, Ph.D. student, ÐÓ°ÉÔ´´ Institute of Technology Title: A Neural Surrogate Solver for Radiation Transfer Abstract: Radiative transfer is often the dominant mode of heat...
