Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy.
Bingshan HuNishant A. MehtaPublished in: COLT (2024)
Keyphrases
- decision theoretic
- online learning
- goal state
- expected utility
- plan recognition
- planning under uncertainty
- decision models
- stochastic dynamic programming
- statistical databases
- higher education
- privacy preserving
- decision theory
- regret bounds
- dynamic programming
- optimal control
- worst case
- privacy concerns
- machine learning
- e learning
- bayesian networks
- stochastic programming
- control policy
- monte carlo
- pareto optimal
- personal information
- distance learning