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NeurIPS 2026U OxfordETH ZurichOxofrd, University of OxfordOptimization

Time-Sensitive Anytime-Valid Testing

A time-sensitive testing-by-betting framework favors early rejection via time-weighted rewards, yielding Bellman-optimal e-processes and an exponential-decay-optimal criterion recovering classical growth-rate optimality at large scales.

Eugenio Clerico, Tobias Wegel, Iskander Azangulov, Patrick Rebeschini

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 6/10
strict 2/5
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NeurIPS 2026U OxfordUIUCfalOxofrd, University of OxfordKoreaDiffusion models

Exact Posterior Score Estimation for Solving Linear Inverse Problems

Exact posterior score estimation derives closed-form posterior scores for linear Gaussian inverse problems, enabling efficient training and sampling that outperforms baselines with far fewer evaluations.

Abbas Mammadov, Ozgur Kara, Kaan Oktay, Iskander Azangulov and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 2/5
medium 10/10
strict 2/5