The Information Geometry of Mirror Descent

29 October 2013

Papers citing "The Information Geometry of Mirror Descent"

20 / 70 papers shown

Title
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 35 185 0 05 Jun 2019
Scalable Training of Inference Networks for Gaussian-Process Models Jiaxin Shi Mohammad Emtiyaz Khan Jun Zhu BDL 11 18 0 27 May 2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization David H. Brookes A. Busia Clara Fannjiang Kevin Patrick Murphy Jennifer Listgarten 9 22 0 24 May 2019
A Formalization of The Natural Gradient Method for General Similarity Measures Anton Mallasto T. D. Haije Aasa Feragen 13 4 0 24 Feb 2019
DeGroot-Friedkin Map in Opinion Dynamics is Mirror Descent A. Halder 14 2 0 29 Dec 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 11 55 0 27 Nov 2018
An elementary introduction to information geometry Frank Nielsen 3DGS 22 212 0 17 Aug 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Variational Adaptive-Newton Method for Explorative Learning Mohammad Emtiyaz Khan Wu Lin Voot Tangkaratt Zuozhu Liu Didrik Nielsen ODL 21 19 0 15 Nov 2017
Mirror Descent Search and its Acceleration Megumi Miyashita S. Yano T. Kondo 11 7 0 08 Sep 2017
Approximate Bayesian inference as a gauge theory B. Sengupta Karl J. Friston 14 132 0 17 May 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 14 135 0 13 Mar 2017
Strongly-Typed Agents are Guaranteed to Interact Safely David Balduzzi 19 2 0 24 Feb 2017
Optimization on Submanifolds of Convolution Kernels in CNNs Mete Ozay Takayuki Okatani 43 46 0 22 Oct 2016
Relative Natural Gradient for Learning Large Complex Models Ke Sun Frank Nielsen 29 5 0 20 Jun 2016
A Variational Perspective on Accelerated Methods in Optimization Andre Wibisono Ashia C. Wilson Michael I. Jordan 23 566 0 14 Mar 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 21 70 0 31 Dec 2015
Natural Neural Networks Guillaume Desjardins Karen Simonyan Razvan Pascanu Koray Kavukcuoglu 17 176 0 01 Jul 2015
Stochastic Discriminative EM A. Masegosa BDL 33 2 0 02 Oct 2014
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 85 183 0 25 Nov 2009