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Context-Aware Online Client Selection for Hierarchical Federated Learning

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

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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

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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 

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Provably Good Batch Reinforcement Learning Without Great Exploration

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

* 36 pages, 7 figures 

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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 

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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

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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 

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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 

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Combining Parametric and Nonparametric Models for Off-Policy Evaluation

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

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Off-Policy Policy Gradient with State Distribution Correction

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

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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: 

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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

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

Aug 04, 2018
Yao Liu, Emma Brunskill

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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 

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