natural gradient

Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014 Projected Natural Actor-Critic NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Topmoumoute Online Natural Gradient Algorithm NeurIPS 2007 Bayesian Policy Gradient Algorithms NeurIPS 2006 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Statistical Dynamics of On-line Independent Component Analysis JMLR 2003 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001