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BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark


Jul 17, 2021
Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai


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MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction


Jun 24, 2021
Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li

* accepted by IJCAI 2021 

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Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020


Apr 20, 2021
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon


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NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning


Feb 08, 2021
Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu


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MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records


Feb 03, 2021
Zhen Xu, David R. So, Andrew M. Dai

* Accepted for publication at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Near Real-World Benchmarks for Offline Reinforcement Learning


Feb 01, 2021
Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu


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AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification


Oct 25, 2020
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie

* 5 pages, 2 figures, Details about AutoSpeech 2020 Challenge 

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Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization


Apr 24, 2020
Shatian Wang, Shuoguang Yang, Zhen Xu, Van-Anh Truong


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Deep Physiological State Space Model for Clinical Forecasting


Dec 04, 2019
Yuan Xue, Denny Zhou, Nan Du, Andrew Dai, Zhen Xu, Kun Zhang, Claire Cui


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Flow Contrastive Estimation of Energy-Based Models


Dec 02, 2019
Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu


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Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints


Nov 08, 2019
Shatian Wang, Zhen Xu, Van-Anh Truong


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Learning an Adaptive Learning Rate Schedule


Sep 20, 2019
Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz


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Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records


Jun 28, 2019
Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai


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Incorporating Loose-Structured Knowledge into Conversation Modeling via Recall-Gate LSTM


Feb 06, 2017
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang

* under review of IJCNN 2017; 10 pages, 5 figures 

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Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model


Nov 07, 2016
Zhen Xu, Wen Dong, Sargur Srihari

* In proceedings of 29th Conference on Neural Information Processing Systems (NIPS 2016) 

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