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bregman divergence

81 papers

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Co-occurring keywords

exponential family (124) mirror descent (148) convex optimization (1321) clustering algorithm (206) convergence rate (607) k-means clustering (235) loss function (462) cross-entropy loss (151) density ratio estimation (48) proper scoring rule (24)

Papers

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018
Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018
Inductive Two-Layer Modeling with Parametric Bregman Transfer ICML 2018
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Boundary Crossing for General Exponential Families ALT 2017
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016
A scaled Bregman theorem with applications NIPS 2016
Linking losses for density ratio and class-probability estimation ICML 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Clustering with Bregman Divergences: an Asymptotic Analysis NIPS 2016
KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading CVPR 2015
A Market Framework for Eliciting Private Data NIPS 2015
Bregman Alternating Direction Method of Multipliers NIPS 2014
Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Generalized Optimal Reverse Prediction AISTATS 2012
A Characterization of Scoring Rules for Linear Properties COLT 2012
Submodular-Bregman and the Lovász-Bregman Divergences with Applications NIPS 2012
Information, Divergence and Risk for Binary Experiments JMLR 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes JMLR 2010
Efficient Bregman Range Search NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NIPS 2009