2 papers
stat.CO2026
A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC
Max Hird, Florian Maire, Jeffrey Negrea
Preconditioning is a common method applied to modify Markov chain Monte Carlo algorithms with the goal of making them more efficient. In practice it is often extremely effective, e…
cs.LG2025
Bayesian Algorithms for Adversarial Online Learning: from Finite to Infinite Action Spaces
Alexander Terenin, Jeffrey Negrea
We develop a form Thompson sampling for online learning under full feedback - also known as prediction with expert advice - where the learner's prior is defined over the space of a…