Zhikuan Zhao

According to our database, Zhikuan Zhao authored at least 11 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning.

Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certifying Out-of-Domain Generalization for Blackbox Functions.

Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Compiling basic linear algebra subroutines for quantum computers.

Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons

Quantum Mach. Intell., 2021

Smooth input preparation for quantum and quantum-inspired machine learning.

Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons

Quantum Mach. Intell., 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.

Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao

CoRR, 2020

End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.

Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

CoRR, 2020

A note on blind contact tracing at scale with applications to the COVID-19 pandemic.

Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019

Bayesian deep learning on a quantum computer.

Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek

Quantum Mach. Intell., 2019

2018

Quantum algorithms for training Gaussian Processes.

Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons

CoRR, 2018

2015

Quantum assisted Gaussian process regression.

Zhikuan Zhao, Jack K. Fitzsimons, Joseph F. Fitzsimons

CoRR, 2015