Zhikuan Zhao

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 13

Top Topics

Gaussian Process

Machine Learning

Hypothesis Testing

Top Venues

Quantum Mach. Intell.

Publications

Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML (2022)
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS (2022)
Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons
Compiling basic linear algebra subroutines for quantum computers. Quantum Mach. Intell. 3 (2) (2021)
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR (2021)
Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons
Smooth input preparation for quantum and quantum-inspired machine learning. Quantum Mach. Intell. 3 (1) (2021)
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR (2020)
Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao
A note on blind contact tracing at scale with applications to the COVID-19 pandemic. CoRR (2020)
Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao
A note on blind contact tracing at scale with applications to the COVID-19 pandemic. ARES (2020)
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. CoRR (2020)
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
Bayesian deep learning on a quantum computer. Quantum Mach. Intell. 1 (1-2) (2019)
Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons
Quantum algorithms for training Gaussian Processes. CoRR (2018)
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
Bayesian Deep Learning on a Quantum Computer. CoRR (2018)
Zhikuan Zhao, Jack K. Fitzsimons, Joseph F. Fitzsimons
Quantum assisted Gaussian process regression. CoRR (2015)