Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models.
Oren BarkanYuval AsherAmit EshelYehonatan ElishaNoam KoenigsteinPublished in: ICDM (2023)
Keyphrases
- black box
- probabilistic model
- modeling framework
- accurate models
- learning models
- metamodel
- learned models
- prior knowledge
- theoretical framework
- latent variable models
- generic model
- learning scheme
- computational models
- structured prediction
- hidden variables
- conceptual model
- experimental data
- statistical model
- computational model
- parameter estimation
- learning frameworks
- learning process
- bayesian framework
- process model
- dynamic bayesian networks
- mathematical framework
- simulation model
- fully connected
- black boxes
- learning mechanism
- bayesian networks
- open source
- reinforcement learning