3 papers
cs.LG2024
Evaluating Representations with Readout Model Switching
Yazhe Li, Jorg Bornschein, Marcus Hutter
Although much of the success of Deep Learning builds on learning good representations, a rigorous method to evaluate their quality is lacking. In this paper, we treat the evaluatio…
cs.LG2024
Levin Tree Search with Context Models
Laurent Orseau, Marcus Hutter, Levi H. S. Lelis
Levin Tree Search (LTS) is a search algorithm that makes use of a policy (a probability distribution over actions) and comes with a theoretical guarantee on the number of expansion…
cs.LG2024
Isotuning With Applications To Scale-Free Online Learning
Laurent Orseau, Marcus Hutter
We extend and combine several tools of the literature to design fast, adaptive, anytime and scale-free online learning algorithms. Scale-free regret bounds must scale linearly with…