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Panel 1A-3: A gradient sampling… & Local Bayesian optimization…
Swati Padmanabhan · Quan Nguyen
Author Information
Swati Padmanabhan (University of Washington, Seattle)
Quan Nguyen (Washington University, St. Louis)

I am a fourth-year Ph.D. student in Computer Science at the McKelvey School of Engineering at Washington University in St. Louis, advised by Prof. Roman Garnett. My research interests are in Bayesian machine learning, active search, and general decision-making under uncertainty to accelerate and automate scientific discovery.
More from the Same Authors
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2022 Poster: Local Bayesian optimization via maximizing probability of descent »
Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett -
2022 Poster: A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data »
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song -
2022 Poster: A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions »
Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye -
2022 Poster: Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity »
Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye