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