Neural Bregman Divergences for Distance Learning.
Fred LuEdward RaffFrancis FerraroPublished in: CoRR (2022)
Keyphrases
- distance learning
- bregman divergences
- cost sensitive
- information theoretic
- distance education
- maximum entropy
- mahalanobis distance
- learning theory
- nearest neighbor
- higher education
- loss function
- learning process
- neural network
- exponential family
- e learning
- online learning
- kl divergence
- nonnegative matrix factorization
- open and distance learning
- theoretical guarantees
- graphical models
- data dependent
- mutual information
- statistical model
- binary classification
- multi class
- knn
- pairwise
- machine learning
- data mining