Publications

Optimal anytime regret with two experts . Published in IEEE Symposium on Foundations of Computer Science, Virtual Conference, 2020. (with Nick Harvey, Chris Liaw, and Edwin Perkins) [arXiv]

M.Sc thesis: Understanding the role of averaging in non-smooth stochastic gradient descent . Published in University of British Columbia open collections, 2020. [PDF]

Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent . Published in arXiv, 2019. [arXiv] [slides]

Tight analyses for non-smooth stochastic gradient descent . Published in Conference on Learning Theory, Phoenix, AZ, 2019. (with Nick Harvey, Chris Liaw, and Yaniv Plan) [arXiv, COLT 2019] [slides]

The Vickrey Auction with a Single Duplicate Bidder Approximates the Optimal Revenue . Published in ACM Conference on Economics and Computation, Phoenix, AZ, 2019. (with Hu Fu and Chris Liaw) [arXiv, EC 2019] [Slides by Chris Liaw]