information geometry

Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019 Efficient Gradient-Free Variational Inference using Policy Search ICML 2018 Legendre Decomposition for Tensors NeurIPS 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 f-GANs in an Information Geometric Nutshell NeurIPS 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016 Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015 Information Geometry and Minimum Description Length Networks ICML 2015 Semi-Supervised Interpolation in an Anticausal Learning Scenario JMLR 2015 An Information Geometry of Statistical Manifold Learning ICML 2014 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005 Dependence, Correlation and Gaussianity in Independent Component Analysis JMLR 2003