Principles and practice of information theory
Principles and practice of information theory
Distance measures for signal processing and pattern recognition
Signal Processing
Elements of information theory
Elements of information theory
Kalman filtering with random coefficients and contractions
SIAM Journal on Control and Optimization
Information criteria for residual generation and fault detection and isolation
Automatica (Journal of IFAC)
Additive models, boosting, and inference for generalized divergences
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Training products of experts by minimizing contrastive divergence
Neural Computation
Robust blind source separation by beta divergence
Neural Computation
Duality for Bregman projections onto translated cones and affine subspaces
Journal of Approximation Theory
On scale and concentration invariance in entropies
Information Sciences: an International Journal
A divisive information theoretic feature clustering algorithm for text classification
The Journal of Machine Learning Research
Divergence function, duality, and convex analysis
Neural Computation
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Information geometry of U-Boost and Bregman divergence
Neural Computation
An information theoretic analysis of maximum likelihood mixture estimation for exponential families
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Estimation of Non-Normalized Statistical Models by Score Matching
The Journal of Machine Learning Research
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
The Journal of Machine Learning Research
Means of Positive Numbers and Matrices
SIAM Journal on Matrix Analysis and Applications
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
A fast learning algorithm for deep belief nets
Neural Computation
Clustering with Bregman Divergences
The Journal of Machine Learning Research
A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
Some extensions of score matching
Computational Statistics & Data Analysis
A Generalized Divergence Measure for Nonnegative Matrix Factorization
Neural Computation
Structured Prediction, Dual Extragradient and Bregman Projections
The Journal of Machine Learning Research
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
The Journal of Machine Learning Research
The /spl alpha/-EM algorithm and its applications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Integration of Stochastic Models by Minimizing α-Divergence
Neural Computation
Bayesian Quadratic Discriminant Analysis
The Journal of Machine Learning Research
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
The Journal of Machine Learning Research
A Birkhoff Contraction Formula with Applications to Riccati Equations
SIAM Journal on Control and Optimization
Matrix Nearness Problems with Bregman Divergences
SIAM Journal on Matrix Analysis and Applications
On some entropy functionals derived from Rényi information divergence
Information Sciences: an International Journal
Fast nearest neighbor retrieval for bregman divergences
Proceedings of the 25th international conference on Machine learning
Estimation of a tail index based on minimum density power divergence
Journal of Multivariate Analysis
Information Theory and Network Coding
Information Theory and Network Coding
Parametric estimation and tests through divergences and the duality technique
Journal of Multivariate Analysis
Information Geometry and Its Applications: Convex Function and Dually Flat Manifold
Emerging Trends in Visual Computing
Low-Rank Kernel Learning with Bregman Matrix Divergences
The Journal of Machine Learning Research
Bregman Divergences and Surrogates for Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Metrics for power spectra: an axiomatic approach
IEEE Transactions on Signal Processing
Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
SIAM Journal on Imaging Sciences
Divergence estimation for multidimensional densities via k-nearest-neighbor distances
IEEE Transactions on Information Theory
Sided and symmetrized Bregman centroids
IEEE Transactions on Information Theory
Bregman vantage point trees for efficient nearest neighbor queries
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Tsallis differential entropy and divergences derived from the generalized Shannon-Khinchin axioms
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
α-divergence is unique, belonging to both f-divergence and Bregman divergence classes
IEEE Transactions on Information Theory
Divergence from factorizable distributions and matroid representations by partitions
IEEE Transactions on Information Theory
Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis
ICMLA '09 Proceedings of the 2009 International Conference on Machine Learning and Applications
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The Journal of Machine Learning Research
Query hardness estimation using Jensen-Shannon divergence among multiple scoring functions
ECIR'07 Proceedings of the 29th European conference on IR research
Is the general form of Renyi's entropy a contrast for source separation?
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
IEEE Transactions on Knowledge and Data Engineering
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
Bregman Divergence-Based Regularization for Transfer Subspace Learning
IEEE Transactions on Knowledge and Data Engineering
Statistical inference for the ε-entropy and the quadratic Rényi entropy
Journal of Multivariate Analysis
Quantization and clustering with Bregman divergences
Journal of Multivariate Analysis
A geometric view of conjugate priors
Machine Learning
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives
A study on invariance of f-divergence and its application to speech recognition
IEEE Transactions on Signal Processing
Dual divergence estimators and tests: Robustness results
Journal of Multivariate Analysis
On Pinsker's and Vajda's type inequalities for Csiszár's f-divergences
IEEE Transactions on Information Theory
Estimating divergence functionals and the likelihood ratio by convex risk minimization
IEEE Transactions on Information Theory
The Journal of Machine Learning Research
Fixed point and Bregman iterative methods for matrix rank minimization
Mathematical Programming: Series A and B
A new class of minimum power divergence estimators with applications to cancer surveillance
Journal of Multivariate Analysis
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
Minimum Cross-Entropy Pattern Classification and Cluster Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for nonnegative matrix factorization with the β-divergence
Neural Computation
Unifying divergence minimization and statistical inference via convex duality
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Csiszár’s divergences for non-negative matrix factorization: family of new algorithms
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
A class of statistical and spectral distance measures based onBose-Einstein statistics
IEEE Transactions on Signal Processing
Distances and Riemannian Metrics for Spectral Density Functions
IEEE Transactions on Signal Processing
The p-norm generalization of the LMS algorithm for adaptive filtering
IEEE Transactions on Signal Processing
A generalized divergence measure for robust image registration
IEEE Transactions on Signal Processing
On the Risk of Using RÉnyi's Entropy for Blind Source Separation
IEEE Transactions on Signal Processing - Part I
An inequality on guessing and its application to sequential decoding
IEEE Transactions on Information Theory
A new look at entropy for solving linear inverse problems
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Some inequalities for information divergence and related measures of discrimination
IEEE Transactions on Information Theory
A large deviations approach to error exponents in source coding and hypothesis testing
IEEE Transactions on Information Theory
Asymptotic analysis of error probabilities for the nonzero-mean Gaussian hypothesis testing problem
IEEE Transactions on Information Theory
Information geometry on hierarchy of probability distributions
IEEE Transactions on Information Theory
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
On functionals satisfying a data-processing theorem
IEEE Transactions on Information Theory
Hypothesis testing and information theory
IEEE Transactions on Information Theory
Axiomatic characterization of the directed divergences and their linear combinations
IEEE Transactions on Information Theory
Properties of cross-entropy minimization
IEEE Transactions on Information Theory
On the convexity of some divergence measures based on entropy functions
IEEE Transactions on Information Theory
Spectral distance measures between continuous-time vector Gaussian processes (Corresp.)
IEEE Transactions on Information Theory
On the convexity of higher order Jensen differences based on entropy functions (Corresp.)
IEEE Transactions on Information Theory
Large deviations, hypotheses testing, and source coding for finite Markov chains
IEEE Transactions on Information Theory
Cross entropy, dissimilarity measures, and characterizations of quadratic entropy
IEEE Transactions on Information Theory
The α-EM algorithm: surrogate likelihood maximization using α-logarithmic information measures
IEEE Transactions on Information Theory
Information projections revisited
IEEE Transactions on Information Theory
Refinements of Pinsker's inequality
IEEE Transactions on Information Theory
A new metric for probability distributions
IEEE Transactions on Information Theory
On asymptotic properties of information-theoretic divergences
IEEE Transactions on Information Theory
Kullback-Leibler approximation of spectral density functions
IEEE Transactions on Information Theory
Robust least-squares estimation with a relative entropy constraint
IEEE Transactions on Information Theory
Crame´r-Rao and moment-entropy inequalities for Renyi entropy and generalized Fisher information
IEEE Transactions on Information Theory
A new lower bound for multiple hypothesis testing
IEEE Transactions on Information Theory
Information theoretic inequalities
IEEE Transactions on Information Theory
Relative entropy and the multivariable multidimensional moment problem
IEEE Transactions on Information Theory
Neyman-pearson detection of gauss-Markov signals in noise: closed-form error exponentand properties
IEEE Transactions on Information Theory
On Divergences and Informations in Statistics and Information Theory
IEEE Transactions on Information Theory
Functional Bregman Divergence and Bayesian Estimation of Distributions
IEEE Transactions on Information Theory
Lower Bounds for the Minimax Risk Using -Divergences, and Applications
IEEE Transactions on Information Theory
Generalized cutoff rates and Renyi's information measures
IEEE Transactions on Information Theory
On Pairs of $f$ -Divergences and Their Joint Range
IEEE Transactions on Information Theory
Finding the Maximizers of the Information Divergence From an Exponential Family
IEEE Transactions on Information Theory
Data Processing Theorems and the Second Law of Thermodynamics
IEEE Transactions on Information Theory
The Burbea-Rao and Bhattacharyya Centroids
IEEE Transactions on Information Theory
-Divergence Estimation and Two-Sample Homogeneity Test Under Semiparametric Density-Ratio Models
IEEE Transactions on Information Theory
On Bregman Distances and Divergences of Probability Measures
IEEE Transactions on Information Theory
Geometric Methods for Spectral Analysis
IEEE Transactions on Signal Processing
A Bregman extension of quasi-Newton updates I: an information geometrical framework
Optimization Methods & Software
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This paper provides an annotated bibliography for investigations based on or related to divergence measures for statistical data processing and inference problems.