Search Results for author: Lili Zheng

Found 3 papers, 1 papers with code

Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes

no code implementations NeurIPS 2020 Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti

Stochastic gradient descent (SGD) and its variants have established themselves as the go-to algorithms for large-scale machine learning problems with independent samples due to their generalization performance and intrinsic computational advantage.

Gaussian Processes

Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions

no code implementations16 Mar 2020 Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark

High-dimensional autoregressive point processes model how current events trigger or inhibit future events, such as activity by one member of a social network can affect the future activity of his or her neighbors.

Point Processes Time Series

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