ArXiv TLDR

Alessandro Lazaric

3 papers ยท Latest:

Statistical Machine Learning

Pack only the essentials: Adaptive dictionary learning for kernel ridge regression

SQUEAK is a new algorithm for kernel ridge regression that uses adaptive dictionary learning to achieve efficient Nystrom approximations with reduced space complexity.

2604.22386
Statistical Machine Learning

A single algorithm for both restless and rested rotting bandits

RAW-UCB is a novel algorithm that achieves near-optimal regret in both restless and rested rotting bandit settings, unifying previously distinct problems.

2604.21432
Machine Learning

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

This paper establishes sample complexity bounds for learning ฮต-optimal policies in Stochastic Shortest Path problems, revealing challenges when minimum costs are zero.

2604.16111

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