August 30th, 4PM-5PM, Evans 60:
Note the special time and location. This is joint with the Math Colloquium and Stat Seminar | Rachel Ward, University of Texas, Austin
Stochastic Gradient Descent: Strong convergence guarantees – without parameter tuning |
| September 6th: | Matthew J. Zahr, Lawrence Berkeley National Laboratory
Integrated computational physics and numerical optimization |
| September 13th: | Youngsoo Choi, Lawrence Livermore National Laboratory
ST-GNAT and SNS: Model order reduction techniques for time-dependent nonlinear system of equations |
| September 20th: | No seminar this week |
| September 27th: | Tzanio Kolev, Lawrence Livermore National Laboratory
Scalable High-Order Finite Elements for Compressible Hydrodynamics |
| October 4th: | Weizhu Bao, National University of Singapore
Computational methods for the dynamics of the nonlinear Schroedinger/Gross-Pitaevskii equations |
| October 11th: | Karthik Duraisamy, University of Michigan
Reduced order modeling of multiscale problems using the Mori-Zwanzig formalism |
| October 18th: | Jianxin Zhu, Los Alamos National Laboratory
Dynamical mean-field theory to strongly correlated electronic systems |
| October 25th: | Samuel Rudy, University of Washington
Data-driven methods for model discovery and approximation |
| November 1st: | Yuan Yao, Hong Kong University of Science and Technology
Rethinking Generalization and Robustness in Neural Networks: Breiman’s Dilemma and Huber’s Model |
| November 8th: | Yuehaw Khoo, Stanford University
Convex optimization for multimarginal optimal transport problem with Coulomb cost |
| November 15th: | Tengyu Ma, Stanford University
Recent Progress in the Theory of Deep Learning |
| November 22th: | Thanksgiving break |
| November 29th: | Alexandre Chorin, LBNL, UC Berkeley
Renormalization and large eddy simulation for a driven Burgers equation in a hydrodynamic regime |
| December 6th: | Xiuyuan Cheng, Duke University
Convolutional Neural Network with Decomposed Filters |