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Trading the System Efficiency for the Income Equality of Drivers in Rideshare


Dec 12, 2020
Yifan Xu, Pan Xu

* Accepted by IJCAI2020 (http://static.ijcai.org/2020-accepted_papers.html) and SOLE copyright holder is IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved 

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A Unified Model for the Two-stage Offline-then-Online Resource Allocation


Dec 12, 2020
Yifan Xu, Pan Xu, Jianping Pan, Jun Tao

* Accepted by IJCAI 2020 (http://static.ijcai.org/2020-accepted_papers.html) and SOLE copyright holder is IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved 

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Neural Contextual Bandits with Deep Representation and Shallow Exploration


Dec 03, 2020
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu

* 28 pages, 1 figure, 1 table 

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Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling


Oct 19, 2020
Difan Zou, Pan Xu, Quanquan Gu

* 42 pages, 1 figure 

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A Finite Time Analysis of Two Time-Scale Actor Critic Methods


May 04, 2020
Yue Wu, Weitong Zhang, Pan Xu, Quanquan Gu

* 43 pages 

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MOTS: Minimax Optimal Thompson Sampling


Mar 03, 2020
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu

* 17 pages, 2 figures 

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Double Explore-then-Commit: Asymptotic Optimality and Beyond


Feb 21, 2020
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu

* 26 pages 

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Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours


Dec 18, 2019
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

* 8 pages, 4 figures, Accepted at AAAI 2020 & AIES (Oral) 2020 

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A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation


Dec 10, 2019
Pan Xu, Quanquan Gu

* 23 pages, 1 table. Under review by ICLR 2020 

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Rank Aggregation via Heterogeneous Thurstone Preference Models


Dec 03, 2019
Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud

* 36 pages, 2 figures, 8 tables. In AAAI 2020 

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Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare


Nov 30, 2019
Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu


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Sample Efficient Policy Gradient Methods with Recursive Variance Reduction


Sep 18, 2019
Pan Xu, Felicia Gao, Quanquan Gu

* 27 pages, 2 figures, 3 tables 

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An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient


May 29, 2019
Pan Xu, Felicia Gao, Quanquan Gu

* 10 pages, 2 figures, 1 table. To appear in the proceedings of the 35th International Conference on Uncertainty in Artificial Intelligence 

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Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method


Nov 29, 2018
Dongruo Zhou, Pan Xu, Quanquan Gu

* 24 pages, 2 figures, 1 table. The first version of this paper was submitted to UAI 2018 on March 9, 2018. This is the second version with improved presentation and additional baselines in the experiments, and was submitted to NeurIPS 2018 on May 18, 2018 

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Finding Local Minima via Stochastic Nested Variance Reduction


Jun 22, 2018
Dongruo Zhou, Pan Xu, Quanquan Gu

* 37 pages, 4 figures, 1 table 

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Stochastic Nested Variance Reduction for Nonconvex Optimization


Jun 20, 2018
Dongruo Zhou, Pan Xu, Quanquan Gu

* 28 pages, 2 figures, 1 table 

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Attenuate Locally, Win Globally: An Attenuation-based Framework for Online Stochastic Matching with Timeouts


Apr 22, 2018
Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

* A short version appeared in AAMAS-2017. This version fixes some bugs in the camera-ready version of the paper 

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Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization


Feb 19, 2018
Pan Xu, Jinghui Chen, Difan Zou, Quanquan Gu

* 36 pages, 1 figure, 1 table 

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Stochastic Variance-Reduced Cubic Regularized Newton Method


Feb 13, 2018
Dongruo Zhou, Pan Xu, Quanquan Gu

* 16 pages, 3 figures, 2 tables 

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Stochastic Variance-Reduced Hamilton Monte Carlo Methods


Feb 13, 2018
Difan Zou, Pan Xu, Quanquan Gu

* 16 pages, 3 figures, 4 tables 

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Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima


Dec 18, 2017
Yaodong Yu, Pan Xu, Quanquan Gu

* 25 pages 

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Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources


Dec 11, 2017
John P Dickerson, Karthik A Sankararaman, Aravind Srinivasan, Pan Xu

* To appear in AAAI 2018 

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Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations


Feb 28, 2017
Pan Xu, Jian Ma, Quanquan Gu

* 29 pages, 5 figures, 3 tables 

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Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models


Dec 29, 2016
Pan Xu, Lu Tian, Quanquan Gu

* 42 pages, 3 figures, 4 tables. This work has been presented at the ENAR 2016 Spring Meeting on March 8, 2016 

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