My research lies at the confluence of machine learning, optimization, and statistics. I am broadly interested in finding principled solutions to contemporary ML problems by using tools from optimization and statistics.

Core question: How to learn with provable guarantees by using minimal compute power, minimal human expertise, & imperfect data?

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