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RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving


Aug 18, 2021
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

* To Appear in ICCV2021. The code will be released shortly at https://github.com/ruocwang 

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Rethinking Architecture Selection in Differentiable NAS


Aug 10, 2021
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

* Outstanding Paper Award at ICLR 2021. The code is available at https://github.com/ruocwang/darts-pt 

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A Deep Value-network Based Approach for Multi-Driver Order Dispatching


Jun 08, 2021
Xiaocheng Tang, Zhiwei Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye

* KDD 2019 Oral 

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Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms


Jun 04, 2021
Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye

* KDD 2021; Ride-hailing marketplace open simulation platform: https://outreach.didichuxing.com/Simulation/ 

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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark


Mar 29, 2021
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe


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Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning


Mar 08, 2021
Yan Jiao, Xiaocheng Tang, Zhiwei Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye


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DrNAS: Dirichlet Neural Architecture Search


Jun 19, 2020
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh


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Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem


Nov 25, 2019
John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye

* ICDM 2019 Short Paper 

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Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis


Jul 14, 2015
Katya Scheinberg, Xiaocheng Tang


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HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection


Nov 16, 2014
Zhiwei Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty

* Proceedings of 8th Learning and Intelligent OptimizatioN (LION8) Conference, 2014 

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Efficiently Using Second Order Information in Large l1 Regularization Problems


Mar 27, 2013
Xiaocheng Tang, Katya Scheinberg


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