Concepts4
📚TheoryAdvanced
Information-Theoretic Lower Bounds
Information-theoretic lower bounds tell you the best possible performance any learning algorithm can achieve, regardless of cleverness or compute.
#information-theoretic lower bounds#fano inequality#le cam method+12
📚TheoryAdvanced
Reinforcement Learning Theory
Reinforcement Learning (RL) studies how an agent learns to act in an environment to maximize long-term cumulative reward.
#reinforcement learning#mdp#bellman equation+12
📚TheoryAdvanced
Statistical Learning Theory
Statistical learning theory explains why a model that fits training data can still predict well on unseen data by relating true risk to empirical risk plus a complexity term.
#statistical learning theory#empirical risk minimization#structural risk minimization+11
📚TheoryAdvanced
VC Dimension
VC dimension measures how many distinct labelings a hypothesis class can realize on any set of points of a given size.
#vc dimension#vapnik chervonenkis#shattering+12