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NeurIPS 2026Carnegie MellonStanfordLearning theory

Bentkus-type asymptotic e-values

Diego Martinez Taboada, Ben Chugg, Aaditya Ramdas

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026EPFLEPFL - EPF LausanneLearning theory

Differentiable Exact Learning of Algorithms

Hristo Papazov, Francesco D'Angelo, Nicolas Flammarion

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

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NeurIPS 2026PurdueLearning theory

A Theory of Adversary-Directed Online Learning

Steve Hanneke, Amirreza Shaeiri

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Universitys of WaterlooPurdueU WaterlooLearning theory

Settling the Sample Complexity of Deterministic Agnostic PAC Learning

Shai Ben-David, Steve Hanneke, Farnam Mansouri, Amirreza Shaeiri

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

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NeurIPS 2026RIKEN AIP The UnivThe University of Osaka / RIKEN Learning theory

Information-Theoretic Generalization for Set-Input Optimization-Valued Objectives

Futoshi Futami, Masahiro Fujisawa

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

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NeurIPS 2026YaleLearning theory

Bounds on Extrapolation across Phase Transitions with Generalized Regression

Jeffrey Wei, Manolis Zampetakis, John Sous

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightU Texas at AustinUT AustinLearning theory

Proper Agnostic Learning of Functions of Halfspaces

Sergei Tikhonov, Arsen Vasilyan

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U OxfordMeta / University of OxfordLearning theory

Escaping Parameter Space: Tight Generalization Bounds via Representation Quality

Niclas A Göring, Shuofeng Zhang, Branton DeMoss, Ard Louis

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

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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 2026EPFL - SwitzerlandLearning theory

Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics

Andrea Della Vecchia

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

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NeurIPS 2026PurdueOhio StateLearning theory

Order-Optimal Sample Complexity for Distribution Learning via Flow Matching

Hari K Sahoo, Mudit G Gaur, Vaneet Aggarwal

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Cold Spring Harbor LaboratoryLearning theory

Complete or Sparse: A Tale of Two Identifiabilities

Junze Zhou, David Klindt

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

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NeurIPS 2026Shenzhen MSU-BITLearning theory

The Minimax Rate of Online Isotonic Regression on Product Orders

Sichen Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Wisconsin-MadisonUniversity Of Wisconsin MadisonUCSDU Wisconsin, MadisonLearning theory

Sample Complexity of Linear Regression under Random-Location Coordinate Corruptions

Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Thanasis Pittas

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026SpotlightU Wisconsin-MadisonUniversity Of Wisconsin MadisonUCSDComputer Science and EngineeringU California San DiegoLearning theory

(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers

Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Politecnico Milan, University ofNational University of SingaporeU MilanU IowaLearning theory

Strongly Adaptive Online Learning with Time-Varying Movement Cost

Andrew Jacobsen, Hao Qiu, Emmanuel Esposito, Mengxiao Zhang

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

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NeurIPS 2026National University of SingaporeNational University of SingaporeLearning theory

Tree-Sliced Orlicz Integral Probability Metric

Tuan Hoang, Trung-Khang Tran, Viet-Hoang Tran, Tan Nguyen

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Beijing University of AeronauticU ManchesterLearning theory

Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery

Yibo Zhou, Yirong Xiang

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

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NeurIPS 2026Institute of Software, Chinese ANagoyaLearning theory

Quantum Composite Hypothesis Testing with Small Error

Chenghua Liu, Qisheng Wang

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

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NeurIPS 2026LeidenUniversità degli Studi di MilanoLearning theory

Improved Algorithms for Online Classification with Surrogate Losses

Abed Razawy, Valentina Masarotto, Dirk van der Hoeven

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

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