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Showing papers from Aarhus University Show all papers

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NeurIPS 2026U Michigan - Ann ArborAarhusKing's College London, UnivLearning theory

Fault Tolerant Coresets

Milind Prabhu, Chris Schwiegelshohn, Sudarshan Shyam

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026McMasterUC BerkeleyAarhusETH ZurichLearning theory

Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms

Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Mikael Møller Høgsgaard, Kasper Green Larsen and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026GuidelightAarhusInstitute for AI Policy and StraApollo ResearchU North Carolina at Chapel HillAI oversight & deception

AIs with Secret Loyalties are a Serious but Addressable Threat

Joe Kwon, Alfie Lamerton, Andrew Draganov, Dave Banerjee and 6 more

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

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AI panel: 1 of 20 reviewers recommend it
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NeurIPS 2026Voyage AIU WaterlooVoyageAIMassachusetts Institute of TechnAnthropicGeneration evaluation

RTEB: An Overfitting-Resistant Benchmark for Embedding Model Evaluation

Sahil Verma, Minghan Li, Andrew Gaut, Yujie Qian and 14 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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72%Highly rated
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NeurIPS 2026Sapienza University of RomeLondon School of EconomicsAarhusLearning theory

Profit Maximization in Bilateral Trade against a Smooth Adversary

A profit-maximizing broker achieves tight O√T regret against smooth adversaries in bilateral trade via continuity and hierarchical nets.

Simone Di Gregorio, Paul Duetting, Federico Fusco, Chris Schwiegelshohn

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 2/5
76%Highly rated
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NeurIPS 2026AarhusVrije Universiteit AmsterdamPrincipled IntelligenceSapienza University of RomeU AmsterdamKnowledge graphs

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge

EMERGE benchmarks knowledge graph updates via 233K Wikipedia passages mapped to 1.45M Wikidata edits across 2019, 2025. Experiments highlight challenges integrating emerging textual knowledge with existing graph structures.

Klim Zaporojets, Daniel Daza, Edoardo Barba, Ira Assent and 2 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 2/5
70%Highly rated
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NeurIPS 2026U StuttgartAarhusDeep learning theory

Statistical Convergence of Spherical First Hitting Diffusion Models

Spherical first-hitting diffusion models achieve near-minimax optimal convergence rates in total variation for Sobolev data on spheres, marking the first statistical optimality result for diffusion models using random generation times.

Simon Bienewald, Lukas Trottner

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

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 1/5