Good Papers

Showing papers from Tel Aviv University / Google Show all papers

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Generalized Adaptive Boosting and the Geometry of Mistakes

Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito and 3 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
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Near-Optimal Stochastic Linear Bandits with Delay

Stochastic linear bandits with delayed feedback yield near-optimal, dimension-free additive penalties for loss-independent delays but dimension-dependent penalties for loss-dependent delays, unlike multi-armed bandits.

Ofir Schlisselberg, Mengxiao Zhang, Yishay Mansour

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 4/5
72%Highly rated
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Online Set Learning from Precision and Recall Feedback

Online set learning with randomized precision or recall feedback is learnable exactly when the hypothesis class has finite VC dimension, though standard empirical risk minimization can fail and algorithms must handle feedback dependencies to achieve regret bounds.

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 2/5