Neural Bregman Divergences for Distance Learning.
Fred LuEdward RaffFrancis FerraroPublished in: ICLR (2023)
Keyphrases
- distance learning
- bregman divergences
- maximum entropy
- cost sensitive
- information theoretic
- distance education
- mahalanobis distance
- exponential family
- learning theory
- loss function
- kl divergence
- nearest neighbor
- higher education
- learning process
- neural network
- online learning
- e learning
- special case
- nonnegative matrix factorization
- mutual information
- theoretical guarantees
- data dependent
- missing data
- open and distance learning
- negative matrix factorization
- binary classification
- probabilistic model
- noise model
- multi class
- machine learning