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gaussian distribution

127 papers

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Co-occurring keywords

sample complexity (1169) uncertainty quantification (1393) bayesian inference (1907) online learning (1777) learning theory (519) differential privacy (1016) agnostic learning (76) gaussian process (1200) statistical query (50) variational inference (2069)

Papers

Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NIPS 2018
Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017
A Correlated Topic Model Using Word Embeddings IJCAI 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Generative Local Metric Learning for Kernel Regression NIPS 2017
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks EMNLP 2017
Intention-Aware Motion Planning Using Learning Based Human Motion Prediction RSS 2017
Hierarchical Gaussian Descriptor for Person Re-Identification CVPR 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015
Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015
On the Complexity of A/B Testing COLT 2014
On Communication Cost of Distributed Statistical Estimation and Dimensionality NIPS 2014
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
Semi-dense Visual Odometry for a Monocular Camera ICCV 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates RSS 2012
Confidence-Weighted Linear Classification for Text Categorization JMLR 2012
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection AISTATS 2011
Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011
Functional form of motion priors in human motion perception NIPS 2010
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008
Exact Convex Confidence-Weighted Learning NIPS 2008