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NeurIPS 2026U TorontoU of Toronto; VectorBayesian & probabilistic methods

Sequential Probability Assignment against Smoothed Adversaries with Unknown Base Measure

Ziyi Liu, Dan Roy

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

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NeurIPS 2026U PennsylvaniaBayesian & probabilistic methods

Inference and Uncertainty Quantification for Streaming $r$-PCA

Haoshu Xu, Hongzhe Li

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

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NeurIPS 2026Stanford University, Department StanfordStanfordBayesian & probabilistic methods

An exact information theory of generalization phase transitions in Bayesian diffusion models

Henry Hunt, Mason Kamb, Surya Ganguli

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

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NeurIPS 2026IndependentHarvardBayesian & probabilistic methods

Archimedean Copula Inference via Taylor-Mode AD

Cambridge Yang, Dongdong Li

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

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NeurIPS 2026The University of TokyoThe University of Tokyo/RIKEN-AIBayesian & probabilistic methods

Parallel Computation Algorithms and Convergence Guarantees for Mean-Field Langevin Dynamics

Yoshihito Okamoto, Huanjian Zhou, Taiji Suzuki

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

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NeurIPS 2026SpotlightEindhoven University of TechnoloEindhoven University of TechnoloU AmsterdamBayesian & probabilistic methods

On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences

Fabian Denoodt, Sibylle Hess, Joaquin Vanschoren, Christian Andersson Naesseth

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

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NeurIPS 2026U CambridgeBayesian & probabilistic methods

Contour Monte Carlo: Sampling via Energy Level Sets

Varun Jain, Hong Ge

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

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NeurIPS 2026Universität RegensburgBayesian & probabilistic methods

Constrained Bombieri Point Processes

Cornelius Brand

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

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NeurIPS 2026TsinghuaNational University of SingaporeUBCBayesian & probabilistic methods

How Much Information is Needed for Accurate Kalman Filtering?

Wenhan Cao, Xuyang Chen, Shuyuan Wang, Lin Zhao

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

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NeurIPS 2026DukeBayesian & probabilistic methods

Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)

Yuqi Li, Matthew Engelhard

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

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NeurIPS 2026U CambridgeU Texas at AustinThe University of Texas at AustiUT AustinBayesian & probabilistic methods

One-Shot Private Confidence Regions via Resampling

Po-Ling Loh, Debepsita Mukherjee, Shourya Pandey, Purnamrita Sarkar

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

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NeurIPS 2026The Institute of Statistical MatRIKENRIKEN AIPBayesian & probabilistic methods

Incorporating Neural Network Structure in the Bayesian Learning Rule

Eiki Shimizu, Mohammad Emtiyaz Khan, Thomas Möllenhoff

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

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NeurIPS 2026PekingBayesian & probabilistic methods

Denoising Implicit Variational Inference

Zitong Wang, Zekun Wu, Longlin Yu, Cheng Zhang

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

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NeurIPS 2026U MichiganBayesian & probabilistic methods

Cross-Fitting for Neural Posterior Estimation

Jeffrey Regier

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

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NeurIPS 2026FudanIndiana University, School of MeOregon Health SciencesShanghai University of Finance aBayesian & probabilistic methods

Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation

Yanshuo Liu, Jiaheng Qu, Sha Cao, Chi Zhang and 1 more

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

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NeurIPS 2026Laboratoire d'Informatique Aix Marseille UnivAix MarseilleBayesian & probabilistic methods

Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams

Hugo Schmutz, Hachem Kadri, Thierry Artières

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

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NeurIPS 2026Shanghai Jiao TongBayesian & probabilistic methods

Uncertainty Quantification of Least Squares Estimator for Generalized Orthogonal Procrustes Problems

Shenghan Luo

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

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NeurIPS 2026Ludwig-Maximilians-Universität MInstitute of Computer Science, LStats Department, LMU MunichL3S Research Center, Leibniz UniDFKI (German Research Center forBayesian & probabilistic methods

Deferred Aggregation in Hierarchical Bayesian Optimization

Valentin Margraf, Jonas Hanselle, Julian Rodemann, Marcel Wever and 2 more

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

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NeurIPS 2026National University of SingaporeNational University of SingaporeBayesian & probabilistic methods

Conformal Prediction for Distribution-to-Distribution Regression

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

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

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NeurIPS 2026Mohamed bin Zayed University of Skolkovo Institute of Science anTechnology Innovation InstituteBayesian & probabilistic methods

VecUQ-OT: Aggregating Uncertainty Measures via Multivariate Ranks

Nikita Kotelevskii, Vladimir Kondratyev, Maiya Goloburda, Alexander Fishkov and 3 more

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

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