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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 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 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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NeurIPS 2026J.P. Morgan AI Research, LondonAlan Turing InstituteJPMorgan and Carnegie MellonLearning theory

Adaptive Random Forests from Online Learning and Testing by Betting

Salim I. Amoukou, Saumitra Mishra, Manuela Veloso

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

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NeurIPS 2026KAISTLearning theory

Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits

Junghyun Lee, Yujun Kim, Chulhee Yun, Se-Young Yun

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

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NeurIPS 2026SpotlightNanyang TechnologicalThe Institute of Statistical MatLearning theory

Toward Minimal-dimensional Convex Calibrated Surrogate Losses for Classification with Rejection

Yuzhou Cao, Han Bao, Bo An

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

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NeurIPS 2026Delft University of TechnologyMediaTek ResearchTU DelftLearning theory

Learning from Ranking Feedback: Improved Regret Bounds via Independence Preserving Rank Breaking

Nigel Strachan, Sattar Vakili, Matthijs Spaan, Julia Olkhovskaya

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

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NeurIPS 2026Shanghai JiaotongNational University of SingaporeShanghai Jiao TongLearning theory

No Free Best-of-Both-Worlds Learning in Repeated Bilateral Trade

Yutian Cheng, Canzhe Zhao, Jingye Zhao, Shuai Li

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

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NeurIPS 2026Google ResearchLearning theory

Majority-of-Three is an Optimal PAC Learner

Grigoris Velegkas

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

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NeurIPS 2026Nara Institute of Science and TeNTTU BirminghamKyushu University RIKEN AIPLearning theory

Importance-Weighted Operator Learning Under Probability Measure Shifts

Lei Sun, Yusuke Tanaka, Xiaocheng Shang, Takaharu Yaguchi and 1 more

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

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NeurIPS 2026Technical University of MunichDepartment of Computer Science, TechnionLearning theory

Harnessing Data Asymmetry in Manifold Learning

Thomas Dagès, Simon Weber, Daniel Cremers, Ron Kimmel

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

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NeurIPS 2026Tokyo Institute of TechnologyLearning theory

Fisher-Glass: Tail Sample Complexity from Nuisance-Projected Fisher Information

El Mustapha Mansouri

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

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NeurIPS 2026KyotoLearning theory

Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning

Yoshihiro Maruyama

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

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NeurIPS 2026Imperial College LondonLearning theory

Certification-Enhanced Generalization Bounds

Leo Elmecker-Plakolm, Matthew R Wicker

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

Agnostic Online Learning with Reliable Abstention

Omar Montasser

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

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NeurIPS 2026Weizmann InstituteLearning theory

Coresets for Clustering Using Noisy Comparisons and Few Distance Queries

Amir Carmel, Robert Krauthgamer

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

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NeurIPS 2026TechnionLearning theory

Finite Resources False Discovery Rate Control on Structured Hypothesis Spaces

Binyamin Perets, Shie Mannor

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

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NeurIPS 2026the University of TokyoThe University of TokyoLearning theory

Tight Gap-Dependent Regret Bounds and Problem-Independent Bounds for Cost-aware Cascading Bandits

Yuji TAMAKOSHI, Shinji Ito

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · 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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NeurIPS 2026U OxfordLearning theory

Learning Lotteries with Minimal Violations from Membership Queries

Paul W Goldberg, Nicholas Teh

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026CRESTUSCLearning theory

Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference

Ilyes Hammouda, Stanislav Minsker, Mohamed Ndaoud

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Bennu.Ai LimitedU Edinburgh, University of EdinbHuawei Technologies Ltd.Learning theory

Linear-time rule mining under formal guarantees

Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026BocconiMITLearning theory

The Benefits of Temporal Correlations: SGD Efficiently Learns k-Juntas from Random Walks

Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel

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

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NeurIPS 2026MITU WashingtonMassachusetts Institute of TechnLearning theory

Tropical Gaussian Anticoncentration: Settling Optimal Instance-Dependent Bounds for Online Learning in Extensive-Form Games

Ashkan Soleymani, Zhiyuan Fan, Lillian Ratliff, Patrick Jaillet and 1 more

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

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NeurIPS 2026VISALearning theory

Is Memorization Actually Necessary for Generalization

Hadi Abdullah

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Michigan - Ann ArborU MichiganLearning theory

Can Ideologues Agree on Quality? From Non-identifiable Latent Factors to Collective Outcomes

David Gamba, Seura Ha, Daniel Romero, Grant Schoenebeck

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

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NeurIPS 2026National University of SingaporeLearning theory

On Minimizing Regret in Fixed-Confidence $\varepsilon$-Best Arm Identification

Tianyuan Jin, Junwen Yang, Vincent Tan

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

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NeurIPS 2026MITMassachusetts Institute of TechnLearning theory

Exact-Form Regret and Conservative Correlated Equilibria

Ashkan Soleymani, Patrick Jaillet, Gabriele Farina

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026LancasterLearning theory

When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination

Congye Wang

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

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NeurIPS 2026U Colorado DenverU Colorado at DenverLearning theory

Invariance and Body-Order Compose Additively: Minimax Rates on $\mathrm{SO}(3)^n$

Zheshuo Li, Zhengxiong Li

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

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NeurIPS 2026U California, San DiegoLearning theory

Rare-Tail Statistics For Learning Biased Gaussian Halfspaces with Label Noise

Prateeti Mukherjee, Arya Mazumdar, Harsh Vardhan

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

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NeurIPS 2026U MilanPrinceton UniversityUniversità degli Studi di MilanoTel Aviv University / GoogleTechnion and Google ResearchLearning theory

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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NeurIPS 2026Boston CollegeU Colorado at BoulderLearning theory

Smoothed Elicitation Complexity for Approximate $\Gamma$-calibration of Discrete Classification Tasks

Jessica Finocchiaro, Victor Ganson, Drona Khurana

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

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NeurIPS 2026SpotlightMorgan StanleyUniversité Grenoble AlpesUniversité de ToulouseCNRS and LJKCNRS and Archimedes, Athena ReseLearning theory

The Long-Run Distribution of Regularized Learning in Non-Concave Games: A Large Deviations Approach

Waïss Azizian, Pierre-Louis Cauvin, Franck Iutzeler, Jérôme Malick and 1 more

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

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NeurIPS 2026Politecnico di MilanoLearning theory

Worst-Case Regret Bounds for Combinatorial Bandits with Ranking Feedback

Cristiano Migali, Gianmarco Genalti, Alberto Maria Metelli, Marco Mussi

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

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NeurIPS 2026WesternU Western OntarioLearning theory

Beyond Marginal Coverage: Efficient Localized Conformal Prediction via Residual Rank Calibration

Xiangshi Li, Wenqing He

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

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NeurIPS 2026ShenzhenRensselaer Polytechnic InstituteU Massachusetts AmherstLearning theory

Quantum Best Arm Identification with Limited Round of Adaptivity: Lower Bounds and Algorithms

Haoran Li, Chen Wang, Xuchuang Wang

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

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NeurIPS 2026BucknellA*STARLearning theory

Understanding Circulant Permutation to Extend the CMinHash Estimator

Keegan Kang, Avery Hood, Benedict H Wong

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

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NeurIPS 2026U British ColumbiaU California, San DiegoLearning theory

In-Context Benign Overfitting: A Feature-Selection Model in Linear Regression ICL

Puneesh Deora, Bhavya Vasudeva, Christos Thrampoulidis

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

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NeurIPS 2026Georgia Institute of TechnologyNew YorkLearning theory

Debiasing Sketched Ridge Regression: A Functional Estimation Perspective

Yucong Liu, Florian Schäfer

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

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NeurIPS 2026Stanford & BenchmarkLearning theory

Resolving AdaBoost Cycling with LLMs: A Computer-Assisted Counterexample

Erik Wang

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

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NeurIPS 2026Sharif University of TechnologyLearning theory

Fast, Relaxation‑ and Hyperparameter‑Free Pairwise Worst-Case Class Separation

Mohammad Mahdi Omati, Arash Amini, Nezam Mahdavi-Amiri

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Indian Statistical InstituteIndian Statistical Institute, KoLearning theory

Distribution Free Fourier Sparsity Testing

Arijit Ghosh, Manmatha Roy

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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