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Relative Entropy Gradient Sampler for Unnormalized Distributions


Oct 06, 2021
Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu


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Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly


Sep 18, 2021
Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu


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Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity


Jul 10, 2021
Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou

* arXiv admin note: text overlap with arXiv:2106.10880 

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Deep Generative Learning via Schrödinger Bridge


Jun 19, 2021
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang

* ICML, 2021 

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An error analysis of generative adversarial networks for learning distributions


Jun 12, 2021
Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang


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Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks


May 01, 2021
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

* Guohao Shen and Yuling Jiao contributed equally to this work. Co-corresponding authors: Yuanyuan Lin (Email: [email protected]) and Jian Huang (Email: [email protected]

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Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class


Mar 07, 2021
Yuling Jiao, Yanming Lai, Xiliang Lu, Zhijian Yang


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Generative Learning With Euler Particle Transport


Dec 11, 2020
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Zhijian Yang

* arXiv admin note: substantial text overlap with arXiv:2002.02862 

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Deep Dimension Reduction for Supervised Representation Learning


Jun 10, 2020
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu


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Learning Implicit Generative Models with Theoretical Guarantees


Feb 17, 2020
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu


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On Newton Screening


Feb 07, 2020
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu, Yuanyuan Yang


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A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models


Jan 16, 2020
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu


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A stochastic alternating minimizing method for sparse phase retrieval


Jun 14, 2019
Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You


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Wasserstein-Wasserstein Auto-Encoders


Feb 25, 2019
Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang


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Deep Generative Learning via Variational Gradient Flow


Feb 07, 2019
Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang


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SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties


Oct 09, 2018
Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang


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A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery


Jan 06, 2018
Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu, Can Yang


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A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem


Mar 03, 2014
Yuling Jiao, Bangti Jin, Xiliang Lu


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