Learning and Covering Sums of Independent Random Variables with Unbounded Support.
Alkis KalavasisKonstantinos StavropoulosManolis ZampetakisPublished in: CoRR (2022)
Keyphrases
- random variables
- graphical models
- probability distribution
- conditionally independent
- reinforcement learning
- conditional independence
- distribution function
- independent and identically distributed
- prior knowledge
- latent variables
- normal distribution
- statistically independent
- stochastic optimization problems
- identically distributed
- stochastic processes
- hidden variables
- conditional probabilities
- evolutionary algorithm