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Stochastic Optimization with Importance Sampling

13 January 2014

Tong Zhang

Papers citing "Stochastic Optimization with Importance Sampling"

33 / 183 papers shown

Title
On Sampling Strategies for Neural Network-based Collaborative Filtering Ting-Li Chen Yizhou Sun Yue Shi Liangjie Hong 65 226 0 23 Jun 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 127 927 0 23 Jun 2017
Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory Peter Richtárik Martin Takáč 92 94 0 04 Jun 2017
Biased Importance Sampling for Deep Neural Network Training Angelos Katharopoulos François Fleuret 73 68 0 31 May 2017
Determinantal Point Processes for Mini-Batch Diversification Cheng Zhang Hedvig Kjellström Stephan Mandt 85 35 0 01 May 2017
Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction Fanhua Shang 21 1 0 17 Apr 2017
Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies Renbo Zhao W. Haskell Vincent Y. F. Tan 53 29 0 01 Apr 2017
Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning Fanhua Shang Yuanyuan Liu James Cheng Jiacheng Zhuo ODL 51 23 0 23 Mar 2017
Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations Atsushi Shibagaki Ichiro Takeuchi 83 5 0 21 Mar 2017
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent Fanhua Shang Yuanyuan Liu James Cheng K. K. Ng Yuichi Yoshida 101 3 0 20 Mar 2017
Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij Christoph H. Lampert MLT 144 166 0 05 Mar 2017
Identifying Best Interventions through Online Importance Sampling Rajat Sen Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai 98 73 0 10 Jan 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 159 110 0 15 Dec 2016
Active Learning for Speech Recognition: the Power of Gradients Jiaji Huang R. Child Vinay Rao Hairong Liu S. Satheesh Adam Coates VLM 78 64 0 10 Dec 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs A. Osokin Jean-Baptiste Alayrac Isabella Lukasewitz P. Dokania Simon Lacoste-Julien 90 65 0 30 May 2016
Barzilai-Borwein Step Size for Stochastic Gradient Descent Conghui Tan Shiqian Ma Yuhong Dai Yuqiu Qian 96 183 0 13 May 2016
Unbiased Comparative Evaluation of Ranking Functions Tobias Schnabel Adith Swaminathan P. Frazier Thorsten Joachims 65 27 0 25 Apr 2016
Optimal Margin Distribution Machine Teng Zhang Zhi Zhou 85 72 0 12 Apr 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent Linnan Wang Yi Yang Martin Renqiang Min S. Chakradhar 92 93 0 17 Mar 2016
Importance Sampling for Minibatches Dominik Csiba Peter Richtárik 111 117 0 06 Feb 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters Zeyuan Allen-Zhu Yang Yuan Karthik Sridharan 102 28 0 05 Feb 2016
Reducing Runtime by Recycling Samples Jialei Wang Hai Wang Nathan Srebro 63 3 0 05 Feb 2016
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models S. Krishnan Jiannan Wang Eugene Wu Michael Franklin Ken Goldberg HAI 52 28 0 15 Jan 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu Zheng Qu Peter Richtárik Yang Yuan 97 171 0 30 Dec 2015
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization Yadong Mu Wei Liu Wei Fan 98 33 0 28 Jun 2015
Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses Dominik Csiba Peter Richtárik 92 23 0 07 Jun 2015
$Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning$ Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning Jiyan Yang Yinlam Chow Christopher Ré Michael W. Mahoney 119 43 0 12 Feb 2015
Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation Zheng Qu Peter Richtárik 202 83 0 27 Dec 2014
Randomized Dual Coordinate Ascent with Arbitrary Sampling Zheng Qu Peter Richtárik Tong Zhang 155 58 0 21 Nov 2014
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang Xiao Lin 129 265 0 10 Sep 2014
On Data Preconditioning for Regularized Loss Minimization Tianbao Yang Rong Jin Shenghuo Zhu Qihang Lin 161 9 0 13 Aug 2014
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling P. Zhao Tong Zhang 80 91 0 13 May 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 371 1,252 0 10 Sep 2013