Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

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

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

* 43 pages 

  Access Paper or Ask Questions

MOTS: Minimax Optimal Thompson Sampling

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

* 17 pages, 2 figures 

  Access Paper or Ask Questions

Double Explore-then-Commit: Asymptotic Optimality and Beyond

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

* 26 pages 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Sample Efficient Policy Gradient Methods with Recursive Variance Reduction

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

* 27 pages, 2 figures, 3 tables 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Finding Local Minima via Stochastic Nested Variance Reduction

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

* 37 pages, 4 figures, 1 table 

  Access Paper or Ask Questions

Stochastic Nested Variance Reduction for Nonconvex Optimization

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

* 28 pages, 2 figures, 1 table 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Stochastic Variance-Reduced Cubic Regularized Newton Method

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

* 16 pages, 3 figures, 2 tables 

  Access Paper or Ask Questions

Stochastic Variance-Reduced Hamilton Monte Carlo Methods

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

* 16 pages, 3 figures, 4 tables 

  Access Paper or Ask Questions

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

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

* 25 pages 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions