“Risk
and robustness in RL: Nothing ventured, nothing gained”
In this talk I will start from
giving a broad overview of my research, focusing on the essential elements
needed for scaling…

“Halting Time is Predictable for
Large Models: A Universality Property and Average-case Analysis”
In this
talk, I will present a framework for performing average-case analysis in…

“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…

Tuesday, February 4, 2014 at 4:15pm
Upson Hall, B17
ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs
Joint colloquium with Computer Science.
How can…

The study of first-order methods has largely dominated research in continuous optimization for the last decade, yet still the range of problems for which optimal first-order methods have been…