A generalization of regularized dual averaging and its dynamics

22 September 2019

Papers citing "A generalization of regularized dual averaging and its dynamics"

31 / 31 papers shown

Title
Regularized Off-Policy TD-Learning Bo Liu Sridhar Mahadevan Ji Liu OffRL 42 65 0 06 Jun 2020
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method A. Juditsky A. Nazin A. S. Nemirovsky Alexandre B. Tsybakov 34 64 0 05 Jul 2019
Diffusion Approximations for Online Principal Component Estimation and Global Convergence C. J. Li Mengdi Wang Han Liu Tong Zhang 55 12 0 29 Aug 2018
Sparse Principal Component Analysis via Variable Projection N. Benjamin Erichson Peng Zeng Krithika Manohar Steven L. Brunton J. Nathan Kutz Aleksandr Aravkin 46 120 0 01 Apr 2018
Convergence of Online Mirror Descent Yunwen Lei Ding-Xuan Zhou 46 20 0 18 Feb 2018
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation Weijie J. Su Yuancheng Zhu 68 38 0 13 Feb 2018
De-biased sparse PCA: Inference and testing for eigenstructure of large covariance matrices Jana Janková Sara van de Geer 57 18 0 31 Jan 2018
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning Huizhen Yu OffRL 90 32 0 27 Dec 2017
Sparse principal component analysis via axis-aligned random projections M. Gataric Tengyao Wang R. Samworth 81 4 0 15 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 425 1,144 0 04 Dec 2017
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks Pratik Chaudhari Stefano Soatto MLT 68 304 0 30 Oct 2017
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains Aymeric Dieuleveut Alain Durmus Francis R. Bach 54 156 0 20 Jul 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 170 629 0 15 Jul 2017
Stochastic Composite Least-Squares Regression with convergence rate O(1/n) Nicolas Flammarion Francis R. Bach 62 27 0 21 Feb 2017
Statistical Inference for Model Parameters in Stochastic Gradient Descent Xi Chen Jason D. Lee Xin T. Tong Yichen Zhang 62 138 0 27 Oct 2016
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose? H. Cardot D. Degras 59 103 0 11 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,833 0 01 Oct 2015
Statistical and computational trade-offs in estimation of sparse principal components Tengyao Wang Quentin Berthet R. Samworth 91 136 0 22 Aug 2014
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces Sridhar Mahadevan Bo Liu Philip S. Thomas Will Dabney S. Giguere Nicholas Jacek I. Gemp Ji Liu 43 67 0 26 May 2014
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Eric Moulines 87 405 0 10 Jun 2013
A Generalized Online Mirror Descent with Applications to Classification and Regression Francesco Orabona K. Crammer Nicolò Cesa-Bianchi 163 79 0 10 Apr 2013
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions Katy S. Azoury Manfred K. Warmuth 156 324 0 23 Jan 2013
Sparse PCA: Optimal rates and adaptive estimation Tommaso Cai Zongming Ma Yihong Wu 149 327 0 06 Nov 2012
Minimax sparse principal subspace estimation in high dimensions Vincent Q. Vu Jing Lei 122 195 0 02 Nov 2012
Sparse Q-learning with Mirror Descent Sridhar Mahadevan Bo Liu OffRL 60 39 0 16 Oct 2012
Minimax bounds for sparse PCA with noisy high-dimensional data Aharon Birnbaum Iain M. Johnstone B. Nadler D. Paul 102 180 0 05 Mar 2012
Sparse principal component analysis and iterative thresholding Zongming Ma 145 333 0 12 Dec 2011
Ergodic Mirror Descent John C. Duchi Alekh Agarwal M. Johansson Michael I. Jordan 182 125 0 24 May 2011
Consistency of Sparse PCA in High Dimension, Low Sample Size Contexts D. Shen Haipeng Shen J. S. Marron 88 123 0 21 Apr 2011
Adaptive Bound Optimization for Online Convex Optimization H. B. McMahan Matthew J. Streeter ODL 98 387 0 26 Feb 2010
Online Learning for Matrix Factorization and Sparse Coding Julien Mairal Francis R. Bach Jean Ponce Guillermo Sapiro 144 2,615 0 01 Aug 2009