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DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis


Oct 03, 2020
Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li

* ICDM 2020 

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Deterministic Value-Policy Gradients


Sep 09, 2019
Qingpeng Cai, Ling Pan, Pingzhong Tang


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Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks


May 28, 2019
Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He


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Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings


Apr 25, 2019
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

* Accepted at SIGIR 2019 

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Policy Optimization with Model-based Explorations


Nov 18, 2018
Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang

* Accepted at AAAI-19 

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Deterministic Policy Gradients With General State Transitions


Oct 02, 2018
Qingpeng Cai, Ling Pan, Pingzhong Tang


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Rebalancing Dockless Bike Sharing Systems


Sep 10, 2018
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang


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Policy Gradients for General Contextual Bandits


May 22, 2018
Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He


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Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks


May 09, 2018
Weiran Shen, Pingzhong Tang, Song Zuo


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Optimal Vehicle Dispatching Schemes via Dynamic Pricing


Mar 01, 2018
Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo


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Reinforcement Mechanism Design for e-commerce


Feb 27, 2018
Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang


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