A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling.
Yiting CaoChao LanPublished in: ICML (2022)
Keyphrases
- probabilistic model
- prior knowledge
- learning mechanism
- learning scheme
- theoretical foundation
- computational model
- modeling framework
- conceptual model
- learning algorithm
- theoretical framework
- conceptual framework
- reinforcement learning
- learning systems
- mathematical model
- probability distribution
- learning process
- generative model
- parameter estimation
- neural network
- process model
- online learning
- learning problems
- formal model