Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Yao Liu

Context-Aware Online Client Selection for Hierarchical Federated Learning


Dec 02, 2021
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu


  Access Paper or Ask Questions

Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision


Sep 21, 2021
Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang


  Access Paper or Ask Questions

Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh


Jun 21, 2021
Na Li, Yao Liu

* This paper introduce a new mesh representation and a new upsampling method on a mesh 

  Access Paper or Ask Questions

Provably Good Batch Reinforcement Learning Without Great Exploration


Jul 22, 2020
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill

* 36 pages, 7 figures 

  Access Paper or Ask Questions

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions


Feb 14, 2020
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez

* Change: Correction of typo in meta-data author names 

  Access Paper or Ask Questions

SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation


Nov 20, 2019
Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua


  Access Paper or Ask Questions

All-Action Policy Gradient Methods: A Numerical Integration Approach


Oct 21, 2019
Benjamin Petit, Loren Amdahl-Culleton, Yao Liu, Jimmy Smith, Pierre-Luc Bacon

* 9 pages, 2 figures. NeurIPS 2019 Optimization Foundations of Reinforcement Learning Workshop 

  Access Paper or Ask Questions

Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling


Oct 15, 2019
Yao Liu, Pierre-Luc Bacon, Emma Brunskill

* 21 pages, 1 figure, in submission 

  Access Paper or Ask Questions

Combining Parametric and Nonparametric Models for Off-Policy Evaluation


May 16, 2019
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez


  Access Paper or Ask Questions

Off-Policy Policy Gradient with State Distribution Correction


Apr 17, 2019
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill


  Access Paper or Ask Questions

Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection


Feb 27, 2019
Yao Liu, Ying Tai, Jilin Li, Shouhong Ding, Chengjie Wang, Feiyue Huang, Dongyang Li, Wenshuai Qi, Rongrong Ji

* Technical report that introduces our face anti-spoofing system: Aurora Guard. Simple demo video can be found at: https://drive.google.com/file/d/1wLXwGvy2zsh5xkDhRCPNzQXGUihZNq1g/view?usp=sharing 

  Access Paper or Ask Questions

Representation Balancing MDPs for Off-Policy Policy Evaluation


Oct 31, 2018
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill


  Access Paper or Ask Questions

When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms


Aug 04, 2018
Yao Liu, Emma Brunskill


  Access Paper or Ask Questions

Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters


Jul 10, 2018
Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill

* Accepted to workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action at ICML 2018 

  Access Paper or Ask Questions