Qiuyi (Richard) Zhang

Qiuyi (Richard) Zhang

I am currently at Google Brain/AI in Pittsburgh, working on hyperparameter optimization, Bayesian methods, and theoretical deep learning. My personal website is here.

Research Areas

Authored Publications
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Towards an Authorial Leverage Evaluation Framework for Expressive Benefits of Deep Generative Models in Story Writing
Ethan Manilow
Kenric McDowell
Kory Mathewson
Piotr Mirowski
Richard Zhang
Sherol Chen
(2023)
Leveraging Initial Hints for Free in Stochastic Linear Bandits
Abhimanyu Das
Ashok Cutkosky
Christoph Dann
Richard Zhang
ALT 2022 submission (2022) (to appear)
Optimal Sketching for Trace Estimation
David P. Woodruff
Hai Pham
Richard Zhang
Shuli Jiang
Neurips 2021 (2021)
One network fits all? Modular versus monolithic task formulations in neural networks
Abhimanyu Das
Atish Agarwala
Brendan Juba
Richard Zhang
Rina Panigrahy
Vatsal Sharan
Xin Wang
ICLR 2021 (2021)
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Daniel R. Golovin
Richard Zhang
ICML 2020 (2020)
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation
David P. Woodruff
Rajesh Jayaram
Richard Zhang
ICLR 2020 (2020)
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Chansoo Lee
Daniel Golovin
Greg Kochanski
John Elliot Karro
Richard Song
Richard Zhang
ICLR 2020 (2020)
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