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Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning


Nov 06, 2021
Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang


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Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery


Sep 23, 2021
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

* 75 pages, 3 figures 

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Deep Self-Adaptive Hashing for Image Retrieval


Aug 21, 2021
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen

* 10 pages, 11 figures, 4 tables 

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MetaDelta: A Meta-Learning System for Few-shot Image Classification


Feb 22, 2021
Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu


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Towards a Unified Quadrature Framework for Large-Scale Kernel Machines


Nov 03, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* 27 pages, 9 figures 

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A Comprehensive Survey on Curriculum Learning


Oct 25, 2020
Xin Wang, Yudong Chen, Wenwu Zhu

* 26 pages, 7 figures 

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Likelihood Landscape and Local Minima Structures of Gaussian Mixture Models


Sep 28, 2020
Yudong Chen, Xumei Xi


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Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle


Aug 31, 2020
Lijun Ding, Yuqian Zhang, Yudong Chen

* Main text has 13 pages. Reading first seven pages (takes around 10-15 minutes) should give a good understanding of the paper 

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Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret


Jun 22, 2020
Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie


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Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond


Apr 24, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* The current version is not ready for public avaliable 

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Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium


Mar 21, 2020
Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang


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High-dimensional, multiscale online changepoint detection


Mar 07, 2020
Yudong Chen, Tengyao Wang, Richard J. Samworth

* 40 pages, 3 figures 

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Structures of Spurious Local Minima in $k$-means


Feb 21, 2020
Wei Qian, Yuqian Zhang, Yudong Chen


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Random Fourier Features via Fast Surrogate Leverage Weighted Sampling


Nov 20, 2019
Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens

* accepted by AAAI-20 

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Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery


Nov 18, 2019
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

* Accepted by NeurIPS 2019. The supplementary material is at https://github.com/jicongfan/Supplementary-material-of-conference-papers 

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Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities


Jun 19, 2019
Wei Qian, Yuqian Zhang, Yudong Chen


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Clustering Degree-Corrected Stochastic Block Model with Outliers


Jun 07, 2019
Xin Qian, Yudong Chen, Andreea Minca

* 32 pages, 8 Fig 

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Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence


Apr 22, 2019
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy

* 80 pages 

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Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly


Apr 21, 2019
Yingjie Fei, Yudong Chen

* Partial preliminary results to appear in the Conference on Learning Theory (COLT) 2019 

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Convex Relaxation Methods for Community Detection


Sep 30, 2018
Xiaodong Li, Yudong Chen, Jiaming Xu

* 22 pages 

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Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning


Sep 14, 2018
Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett


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Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization


May 26, 2018
Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

* IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, 2016) 

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Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation


May 02, 2018
Yudong Chen, Yuejie Chi

* To appear in IEEE Signal Processing Magazine 

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Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm


Apr 10, 2018
Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan


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The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis


Mar 20, 2018
Lijun Ding, Yudong Chen

* 72 pages 

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