Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

23 May 2016

Papers citing "Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds"

18 / 118 papers shown

Title
Non-Linear Temporal Subspace Representations for Activity Recognition A. Cherian S. Sra Stephen Gould Richard I. Hartley 21 44 0 27 Mar 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds Nilesh Tripuraneni Nicolas Flammarion Francis R. Bach Michael I. Jordan 38 99 0 26 Feb 2018
A dual framework for low-rank tensor completion M. Nimishakavi Pratik Jawanpuria Bamdev Mishra 16 36 0 04 Dec 2017
Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang-rui Liu Jun Zhu 27 67 0 30 Nov 2017
Riemannian Optimization via Frank-Wolfe Methods Melanie Weber S. Sra 18 32 0 30 Oct 2017
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis Junyu Zhang Shiqian Ma Shuzhong Zhang 8 36 0 05 Oct 2017
The duality structure gradient descent algorithm: analysis and applications to neural networks Thomas Flynn 12 1 0 01 Aug 2017
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization Reshad Hosseini S. Sra 12 61 0 10 Jun 2017
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces A. Cherian S. Sra Richard I. Hartley AI4TS 18 1 0 24 May 2017
Consistent Multitask Learning with Nonlinear Output Relations C. Ciliberto Alessandro Rudi Lorenzo Rosasco Massimiliano Pontil 16 33 0 23 May 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 20 1,278 0 22 May 2017
A Riemannian gossip approach to subspace learning on Grassmann manifold Bamdev Mishra Hiroyuki Kasai Pratik Jawanpuria Atul Saroop 13 1 0 01 May 2017
Structured low-rank matrix learning: algorithms and applications Pratik Jawanpuria Bamdev Mishra CML 9 6 0 24 Apr 2017
Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds A. Roychowdhury 14 4 0 06 Apr 2017
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis Hiroyuki Kasai Hiroyuki Sato Bamdev Mishra 11 22 0 15 Mar 2017
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport Hiroyuki Sato Hiroyuki Kasai Bamdev Mishra 20 58 0 18 Feb 2017
Riemannian stochastic variance reduced gradient on Grassmann manifold Hiroyuki Kasai Hiroyuki Sato Bamdev Mishra 17 21 0 24 May 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014