Workshops

Programs > Workshops > High Dimensional Hamilton-Jacobi PDEs Tutorials

High Dimensional Hamilton-Jacobi PDEs Tutorials

Part of the Long Program High Dimensional Hamilton-Jacobi PDEs

March 10 - 13, 2020

Schedule

All times in this Schedule are Pacific Time (PT)

Tuesday, March 10, 2020
9:00 - 10:15	Adam Oberman (McGill University) Generalization Theory in Machine Learning
10:45 - 12:00	Adam Oberman (McGill University) Gradient descent, Stochastic gradient descent, and acceleration
2:00 - 3:15	Claire Tomlin (University of California, Berkeley (UC Berkeley)) Towards Real-Time Reachability, Part 1
3:45 - 5:00	Claire Tomlin (University of California, Berkeley (UC Berkeley)) Towards Real-Time Reachability, Part 2
Wednesday, March 11, 2020
9:00 - 10:15	Wilfrid Gangbo (University of California, Los Angeles (UCLA)) Analytical Aspect of Mean Field Games, Part 1
10:45 - 12:00	Wilfrid Gangbo (University of California, Los Angeles (UCLA)) Analytical Aspect of Mean Field Games, Part 2
2:00 - 3:15	Jeff Calder (University of Minnesota, Twin Cities) An introduction to concentration of measure with applications to graph-based learning, Part 1
3:45 - 5:00	Jeff Calder (University of Minnesota, Twin Cities) An introduction to concentration of measure with applications to graph-based learning, Part 2
Thursday, March 12, 2020
9:00 - 10:15	Levon Nurbekyan (University of California, Los Angeles (UCLA)) Computational methods for mean-field games, Part 1
10:45 - 12:00	Levon Nurbekyan (University of California, Los Angeles (UCLA)) Computational methods for mean-field games, Part 2
2:00 - 3:15	Dejan Slepcev (Carnegie Mellon University) Variational problems and PDE on random structures, Part 1
3:45 - 5:00	Dejan Slepcev (Carnegie Mellon University) Variational problems and PDE on random structures, Part 2
Friday, March 13, 2020
9:00 - 10:15	Gary Hewer (Naval Air Warfare Center) Hamilton-Jacobi Pontryagin Maximum Principle and Real-Time Optimal control