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Colloquium
HDSI Seminar Series: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate by Quanquan Gu
Title: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate HDSI Seminar Series Quanquan Gu, Assistant Professor of Computer Science at UCLA Abstract: Understanding the algorithmic bias of stochastic gradient descent (SGD) is one of the key challenges in modern machine learning and deep learning theory. Most of the existing works, however, focus […]
HDSI Seminar Series: Deep Learning for Market Design: Fairness, Robustness, and Expressiveness by John Dickerson
Title Deep Learning for Market Design: Fairness, Robustness, and Expressiveness John Dickerson, Assistant Professor of Computer Science, University of Maryland; Chief Scientist, Arthur AI AbstractThe design of revenue-maximizing auctions with strong incentive guarantees is a core concern of economic theory. Computational auctions enable online advertising, sourcing, spectrum allocation, and myriad financial markets. Analytic progress in this […]