Publication
Algorithms
Video
Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond
Efficient policy optimization is fundamental to solving real-world reinforcement learning problems, where agent-environment interactions can be costly. In this talk, I will discuss my recent research toward improving policy optimization efficiency from the perspective of…
Video
Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
Reinforcement learning carries subtly different meanings in machine learning, cognitive science and neuroscience. In this talk, I will try to clarify in which ways the concepts overlap and in which ways they differ. I will…
Video
The 20th Northwest Probability Seminar: Stochastic Explosions in Branching Processes and Non-uniqueness for Nonlinear PDE
We will discuss stochastic processes, Le Jan-Sznitman cascades, that can be associated with certain nonlinear PDE and how explosion of these cascades can be exploited to prove non-uniques for the associated Cauchy problems. In particular,…
Video
The 20th Northwest Probability Seminar: First Order Logic on Galton-Watson Trees
The 20th Northwest Probability Seminar, a one-day mini-conference organized by the University of Washington, the Oregon State University, the University of British Columbia, the University of Oregon, and Microsoft Research, was held on October 20,…
Video
The 20th Northwest Probability Seminar: Cutoff for Product Replacement on Finite Groups
Let G be a finite group, and consider the following \emph{product replacement walk} on the set of generating n-tuples of elements of G: randomly pick two of the n elements, say g and h, and…
Video
The 20th Northwest Probability Seminar: The KPZ Fixed Point
The (1d) KPZ universality class contains random growth models, directed random polymers, stochastic Hamilton-Jacobi equations (e.g. the eponymous Kardar-Parisi-Zhang equation). It is characterized by unusual scale of fluctuations, some of which appeared earlier in random…
Video
Advanced Machine Learning Day 3: Neural Program Synthesis
How do you learn programs? View presentation slides here https://www.microsoft.com/en-us/research/wp-content/uploads/2018/12/Program-Synthesis-SLIDES.pdf
