ENTITY
Francesco Bacchiocchi
Francesco Bacchiocchi
PulseAugur coverage of Francesco Bacchiocchi — every cluster mentioning Francesco Bacchiocchi across labs, papers, and developer communities, ranked by signal.
Total · 30d
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Releases · 30d
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Papers · 30d
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RECENT · PAGE 1/1 · 2 TOTAL
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New algorithm tackles adversarial bandits with exponential action sets
Researchers have developed a new algorithm for adversarial combinatorial bandits that efficiently handles a large number of possible actions. This algorithm achieves near-optimal regret bounds, matching existing methods…
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New research explores regret minimization and LLM preference optimization
This paper introduces a novel framework for regret minimization in online learning scenarios involving piecewise linear reward functions, applicable to areas like contract design and auctions. The proposed algorithm ach…