Co-occurring keywords · papers mentioning both
Papers
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
AISTATS 2016
A Market Framework for Eliciting Private Data
NeurIPS 2015
KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading
CVPR 2015
Bregman Alternating Direction Method of Multipliers
NeurIPS 2014
Bregman Divergences for Infinite Dimensional Covariance Matrices
CVPR 2014
A Characterization of Scoring Rules for Linear Properties
COLT 2012
Generalized Optimal Reverse Prediction
AISTATS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
NeurIPS 2012
Submodular-Bregman and the Lovász-Bregman Divergences with Applications
NeurIPS 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
Multiple Kernel Learning and the SMO Algorithm
NeurIPS 2010
Efficient Bregman Range Search
NeurIPS 2009
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
NeurIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences
JMLR 2009
On the Reliability of Clustering Stability in the Large Sample Regime
NeurIPS 2008
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
JMLR 2007
Bayesian Quadratic Discriminant Analysis
JMLR 2007
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
JMLR 2007
Differential Entropic Clustering of Multivariate Gaussians
NeurIPS 2006
Clustering with Bregman Divergences
JMLR 2005