Optimization
A Literature Reviews
Plugging back in (11) yields the ideal result.
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Y aras
In other words, they form a Simplex Equiangular Tight Frame (ETF).
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Entropy Search and Predictive Entropy Search both consider the entropy over the optimum in the input space, while the recent Max-value Entropy Search considers the entropy over the optimal value in the output space.
End-to-End Stochastic Optimization with Energy-Based Model
Many real-life decision making tasks are stochastic optimization problems, where one needs to make decisions to minimize a cost function that involves stochastic parameters.
Online Learning in MDPs with Linear Function Approximation and Bandit Feedback
Consequently, the state of the environment changes according to the transition function of the underlying MDP, as a function of the previous state and the action taken by the learner.