fisher information

Critical Learning Periods in Deep Networks ICLR 2019 Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 Limitations of the empirical Fisher approximation for natural gradient descent NeurIPS 2019 Stein Variational Gradient Descent With Matrix-Valued Kernels NeurIPS 2019 Task2Vec: Task Embedding for Meta-Learning ICCV 2019 The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019 Understanding VAEs in Fisher-Shannon Plane AAAI 2019 Coupled End-to-End Transfer Learning With Generalized Fisher Information CVPR 2018 Exact natural gradient in deep linear networks and its application to the nonlinear case NeurIPS 2018 Power-law efficient neural codes provide general link between perceptual bias and discriminability NeurIPS 2018 Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017 Eigen-Distortions of Hierarchical Representations NeurIPS 2017 Relative Fisher Information and Natural Gradient for Learning Large Modular Models ICML 2017 Local Minimax Complexity of Stochastic Convex Optimization NeurIPS 2016 Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations ICML 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014 Two-Stage Metric Learning ICML 2014 Dropout Training as Adaptive Regularization NeurIPS 2013 Enhanced statistical rankings via targeted data collection ICML 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011