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NeurIPS 2026EpflETH ZürichÉcole Polytechnique Fédérale de ETH ZurichOptimization

Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets

Under local PŁ conditions, unique optimistic lower-level selection ensures hyper-gradient differentiability via pseudoinverses, yielding HG-MS with manifold-dependent convergence and strong LLM reweighting results.

Saeed Masiha, Zebang Shen, Negar Kiyavash, Niao He

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

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 3/5
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NeurIPS 2026EPFLTechnische Universität MünchenÉcole Polytechnique Fédérale de Bandits & online learning

Active Context Selection Improves Simple Regret in Contextual Bandits

Active context selection improves contextual bandit simple regret from order root n over T times L1/2 norm of p to root n over T times L2/3 norm, with gains up to k to the 1/4.

Mohammad Shahverdikondori, Jalal Etesami, Negar Kiyavash

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

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 2/5