Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

7 June 2018

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Papers citing "Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization"

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Title
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability Belinda Tzen Tengyuan Liang Maxim Raginsky 73 32 0 18 Feb 2018
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods Nicolas Loizou Peter Richtárik 77 202 0 27 Dec 2017
Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies Renbo Zhao W. Haskell Vincent Y. F. Tan 51 29 0 01 Apr 2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks Nanyang Ye Zhanxing Zhu Rafał K. Mantiuk 78 21 0 13 Mar 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 84 521 0 13 Feb 2017
Asynchronous Stochastic Gradient MCMC with Elastic Coupling Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter BDL 37 1 0 02 Dec 2016
Stochastic Gradient MCMC with Stale Gradients Changyou Chen Nan Ding Chunyuan Li Yizhe Zhang Lawrence Carin BDL 84 23 0 21 Oct 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng Qi Meng Taifeng Wang Wei Chen Nenghai Yu Zhiming Ma Tie-Yan Liu 133 315 0 27 Sep 2016
A Multi-Batch L-BFGS Method for Machine Learning A. Berahas J. Nocedal Martin Takáč ODL 81 112 0 19 May 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 84 235 0 09 Aug 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian Yijun Huang Y. Li Ji Liu 141 499 0 27 Jun 2015
Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models Umut Simsekli Hazal Koptagel Hakan Güldaş taylan. cemgil Figen Oztoprak Ilker Birbil 82 12 0 03 Jun 2015
A Stochastic Quasi-Newton Method for Large-Scale Optimization R. Byrd Samantha Hansen J. Nocedal Y. Singer ODL 114 473 0 27 Jan 2014
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 139 627 0 28 Apr 2011