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Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization


Oct 01, 2018
Minshuo Chen, Lin Yang, Mengdi Wang, Tuo Zhao

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Diffusion Approximations for Online Principal Component Estimation and Global Convergence


Aug 29, 2018
Chris Junchi Li, Mengdi Wang, Han Liu, Tong Zhang

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* Appeared in NIPS 2017 

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Spectral State Compression of Markov Processes


Aug 28, 2018
Anru Zhang, Mengdi Wang

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Variance Reduction Methods for Sublinear Reinforcement Learning


Aug 25, 2018
Sham Kakade, Mengdi Wang, Lin F. Yang

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* Fixed a bug of a previous version 

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Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization


Jul 25, 2018
Tianyi Lin, Chenyou Fan, Mengdi Wang

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* The error appears in the proof. More specifically, the proof of "section 3, Theorem 3.9" in the appendix has an error (c.f. Lemma B.4). Also some errors in "section 4, experiment". We have a new version arXiv:1806.00458 

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Estimation of Markov Chain via Rank-Constrained Likelihood


Jul 19, 2018
Xudong Li, Mengdi Wang, Anru Zhang

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* Proceedings of the 35th International Conference on Machine Learning (ICML2018), Stockholm, Sweden, PMLR 80, 2018 
* Accepted at ICML 2018 

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Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes


Jun 28, 2018
Aaron Sidford, Mengdi Wang, Xian Wu, Yinyu Ye

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Improved Oracle Complexity for Stochastic Compositional Variance Reduced Gradient


Jun 01, 2018
Tianyi Lin, Chenyou Fan, Mengdi Wang, Michael I. Jordan

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* arXiv admin note: text overlap with arXiv: 1802.02339; correct typos, improve proof and add experiments on real datasets 

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Scalable Bilinear $Ο€$ Learning Using State and Action Features


Apr 27, 2018
Yichen Chen, Lihong Li, Mengdi Wang

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Online Factorization and Partition of Complex Networks From Random Walks


Dec 11, 2017
Lin F. Yang, Vladimir Braverman, Tuo Zhao, Mengdi Wang

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