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Fixup Initialization: Residual Learning Without Normalization

Jan 27, 2019
Hongyi Zhang, Yann N. Dauphin, Tengyu Ma

* Accepted for publication at ICLR 2019; see https://openreview.net/forum?id=H1gsz30cKX 

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R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate

Nov 28, 2018
Jingzhao Zhang, Hongyi Zhang, Suvrit Sra

* arXiv admin note: text overlap with arXiv:1605.07147 

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Towards Riemannian Accelerated Gradient Methods

Jun 07, 2018
Hongyi Zhang, Suvrit Sra

* Published in 31th Annual Conference on Learning Theory (COLT'18) 

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mixup: Beyond Empirical Risk Minimization

Apr 27, 2018
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz

* ICLR camera ready version. Changes vs V1: fix repo URL; add ablation studies; add mixup + dropout etc 

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An Approximate Shading Model with Detail Decomposition for Object Relighting

Apr 20, 2018
Zicheng Liao, Kevin Karsch, Hongyi Zhang, David Forsyth


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Matrix Completion from $O(n)$ Samples in Linear Time

Aug 22, 2017
David Gamarnik, Quan Li, Hongyi Zhang

* 45 pages, 1 figure. Short version accepted for presentation at Conference on Learning Theory (COLT) 2017 

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Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

Apr 07, 2017
Hongyi Zhang, Sashank J. Reddi, Suvrit Sra

* Advances in Neural Information Processing Systems 29 (NIPS 2016) 
* This is the final version that appeared in NIPS 2016. Our proof of Lemma 2 was incorrect in the previous arXiv version. (9 pages paper + 6 pages appendix) 

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First-order Methods for Geodesically Convex Optimization

Feb 19, 2016
Hongyi Zhang, Suvrit Sra

* 21 pages 

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