CAREER: Optimization and Learning with Changing Distributions

Stochastic optimization is a fundamental research discipline and a workhorse of learning algorithms. It addresses problems that are stochastic—or random—in nature, such as those arising in the training of machine learning models. The existing theory underlying most learning and optimization algorithms often relies on the simplifying assumption…