On intelligenCE And Networks

Self-normalized Cramér-type Moderate Deviation of Stochastic Gradient Langevin Dynamics

Autores: Hongsheng Dai, Xiequan Fan, Jianya Lu
Publicado en: 2024
Editor: arxiv

Sampling with time-changed Markov processes

Autores: Andrea Bertazzi, Giorgos Vasdekis
Publicado en: 2025
Editor: arxiv

Prediction-Aware Learning in Multi-Agent Systems

Autores: Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
Publicado en: ICML 2025, 2025
Editor: ICML 2025

Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty

Autores: Chatchuea Kimchaiwong, Jeremie Houssineau, Adam M. Johansen
Publicado en: 2024
Editor: arxiv

On integral priors for multiple comparison in Bayesian model selection

Autores: Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Publicado en: arxiv, 2024
Editor: arxiv

Career Modeling with Missing Data and Traces

Autores: Théo Voldoire, Robin J. Ryder, Ryan Lahfa
Publicado en: arxiv, 2024
Editor: arxiv

"A discussion of the paper ""Safe testing"" by Gr\""unwald, de Heide, and Koolen"

Autores: Bon, Joshua; Robert, Christian P
Publicado en: 2024

Optimal Design for Reward Modeling in RLHF

Autores: Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I. Jordan, Pierre Ménard, Eric Moulines, Michal Valko
Publicado en: 2024
Editor: arxiv

Annealed variational mixtures for disease subtyping and biomarker discovery

Autores: Emma Prevot, Rory Toogood, Filippo Pagani, Paul D. W. Kirk
Publicado en: 2024
Editor: arxiv

Understanding In-context Learning of Addition via Activation Subspaces

Autores: Xinyan Hu ~Xinyan_Hu1 , Kayo Yin, Michael I. Jordan, Jacob Steinhardt, Lijie Chen
Publicado en: 2025
Editor: Interplay

Phylogenetic latent space models for network data

Autores: Federico Pavone, Daniele Durante, Robin J. Ryder
Publicado en: arxiv, 2025
Editor: arxiv

Refined Analysis of Federated Averaging's Bias and Federated Richardson-Romberg Extrapolation

Autores: Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
Publicado en: 2024
Editor: arxiv

A Principled Approach to Bayesian Transfer Learning

Autores: Adam Bretherton, Joshua J. Bon, David J. Warne, Kerrie Mengersen, Christopher Drovandi
Publicado en: arxiv, 2025
Editor: arxiv

Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance

Autores: Marta Gentiloni-Silveri, Antonio Ocello
Publicado en: 2025
Editor: arxiv

Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search

Autores: Ziyad Benomar, Lorenzo Croissant, Vianney Perchet, Spyros Angelopoulos
Publicado en: ICML 2025, 2025
Editor: ICML 2025

Discrete Markov Probabilistic Models

Autores: Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Durmus
Publicado en: ICML 2025, 2025
Editor: IMCL 2025

Quantifying the Speed-Up from Non-Reversibility in MCMC Tempering Algorithms

Autores: Gareth O. Roberts, Jeffrey S. Rosenthal
Publicado en: 2025
Editor: arxiv

Sampling using adaptive regenerative processes

Autores: Hector McKimm, Andi Wang, Murray Pollock, Christian Robert, Gareth Roberts
Publicado en: Bernoulli, Edición 31, 2024, ISSN 1350-7265
Editor: Bernoulli Society for Mathematical Statistics and Probability
DOI: 10.3150/24-BEJ1737

Bernoulli factory: The 2-coin problem

Autores: Shenggang Hu, Bo Zhang, Hongsheng Dai, Wei Liang
Publicado en: Monte Carlo Methods and Applications, Edición 30, 2024, ISSN 0929-9629
Editor: Walter de Gruyter GmbH
DOI: 10.1515/MCMA-2024-2016

Statistical disaggregation—A Monte Carlo approach for imputation under constraints

Autores: Shenggang Hu, Hongsheng Dai, Fanlin Meng, Louis Aslett, Murray Pollock, Gareth O. Roberts
Publicado en: Scandinavian Journal of Statistics, Edición 52, 2025, ISSN 0303-6898
Editor: Wiley
DOI: 10.1111/SJOS.12790

Modelling Pathwise Uncertainty of Stochastic Differential Equations Samplers via Probabilistic Numerics

Autores: Yvann Le Fay, Simo Särkkä, Adrien Corenflos
Publicado en: Bayesian Analysis, Edición -1, 2025, ISSN 1936-0975
Editor: Institute of Mathematical Statistics
DOI: 10.1214/25-BA1522

Solving Fredholm integral equations of the second kind via Wasserstein gradient flows

Autores: Francesca R. Crucinio, Adam M. Johansen
Publicado en: Electronic Journal of Statistics, Edición 20, 2026, ISSN 1935-7524
Editor: Institute of Mathematical Statistics
DOI: 10.1214/26-EJS2504

On Integral Priors for Multiple Comparison in Bayesian Model Selection

Autores: Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Publicado en: International Statistical Review, 2026, ISSN 0306-7734
Editor: Wiley
DOI: 10.1111/INSR.70028

Importance sampling-based gradient method for dimension reduction in Poisson log-normal model

Autores: Bastien Batardière, Julien Chiquet, Joon Kwon, Julien Stoehr
Publicado en: Electronic Journal of Statistics, Edición 19, 2025, ISSN 1935-7524
Editor: Institute of Mathematical Statistics
DOI: 10.1214/25-EJS2384

Auxiliary MCMC samplers for parallelisable inference in high-dimensional latent dynamical systems

Autores: Adrien Corenflos, Simo Särkkä
Publicado en: Electronic Journal of Statistics, Edición 19, 2025, ISSN 1935-7524
Editor: Institute of Mathematical Statistics
DOI: 10.1214/25-EJS2363

Statistics and Computing

Autores: Robert, Christian; Stoehr, Julien
Publicado en: Statistics and Computing, 2024, ISSN 0960-3174
Editor: Kluwer Academic Publishers
DOI: 10.48550/ARXIV.2401.16828

Unbiased and consistent nested sampling via sequential Monte Carlo

Autores: Robert Salomone, Leah F South, Christopher Drovandi, Dirk P Kroese, Adam M Johansen
Publicado en: Journal of the Royal Statistical Society Series B: Statistical Methodology, Edición 87, 2025, ISSN 1369-7412
Editor: Oxford University Press (OUP)
DOI: 10.1093/JRSSSB/QKAF015

International Journal of Forecasting

Autores: Yi Zeng 0005; Xuelin Yang; Li Chen; Cristian Canton Ferrer; Ming Jin 0002; Michael I. Jordan; Ruoxi Jia 0001
Publicado en: Advances in Neural Information Processing Systems 37, 2024, ISSN 0169-2070
Editor: Elsevier BV
DOI: 10.48550/ARXIV.2406.07029

Parallel Square-Root Statistical Linear Regression for Inference in Nonlinear State Space Models

Autores: Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
Publicado en: SIAM Journal on Scientific Computing, Edición 47, 2025, ISSN 1064-8275
Editor: Society for Industrial & Applied Mathematics (SIAM)
DOI: 10.1137/23M156121X

Robust inference for the unification of confidence intervals in meta-analysis

Autores: Wei Liang, Haicheng Huang, Hongsheng Dai, Yinghui Wei
Publicado en: Journal of Nonparametric Statistics, 2025, ISSN 1048-5252
Editor: Informa UK Limited
DOI: 10.1080/10485252.2025.2492254

Safety versus performance: How multi-objective learning reduces barriers to market entry

Autores: Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt
Publicado en: Proceedings of the National Academy of Sciences, Edición 122, 2025, ISSN 0027-8424
Editor: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2510004122

Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models

Autores: Filippo Ascolani, Gareth O Roberts, Giacomo Zanella
Publicado en: Journal of the Royal Statistical Society Series B: Statistical Methodology, 2026, ISSN 1369-7412
Editor: Oxford University Press (OUP)
DOI: 10.1093/JRSSSB/QKAF084

Stereographic Markov Chain Monte Carlo

Autores: Jun Yang, K. Latuszy'nski, G. Roberts
Publicado en: The Annals of Statistics, 2024, ISSN 2331-8422
Editor: the Institute of Mathematical Statistics
DOI: 10.1214/24-AOS2426

Composite likelihood inference for the Poisson log-normal model

Autores: Julien Stoehr, Stéphane Robin
Publicado en: Statistics and Computing, Edición 36, 2026, ISSN 0960-3174
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S11222-025-10797-2

Scaling of piecewise deterministic Monte Carlo for anisotropic targets

Autores: Joris Bierkens, Kengo Kamatani, Gareth O. Roberts
Publicado en: Bernoulli, Edición 31, 2025, ISSN 1350-7265
Editor: Bernoulli Society for Mathematical Statistics and Probability
DOI: 10.3150/24-BEJ1807

Stochastic Processes and their Applications

Autores: Julian Hofstadler, Krzysztof Latuszynski, Gareth O Roberts, Daniel Rudolf
Publicado en: Stochastic Processes and their Applications, 2024, ISSN 0304-4149
Editor: Elsevier BV
DOI: 10.1016/J.SPA.2026.104905

Particle Semi-Implicit Variational Inference

Autores: Jen Ning Lim, Adam Johansen
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy

Autores: Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan
Publicado en: AISTAT 2025, 2024
Editor: AISTAT 2025

Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents

Autores: Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines
Publicado en: AISTAT 2025, 2024
Editor: AISTAT 2025

The Statistical Fairness-Accuracy Frontier

Autores: Alireza Fallah, Michael I. Jordan, Annie Ulichney
Publicado en: Neurips 2025 workshop, 2025
Editor: Neurips 2025 workshop

Delegating Data Collection in Decentralized Machine Learning

Autores: Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
Publicado en: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Editor: Proceedings of Machine Learning Research

Learning Contracts in Hierarchical Multi-Agent Systems

Autores: Antoine Scheid, Etienne Boursier, Alain Durmus, Eric Moulines, Michael Jordan
Publicado en: 2025
Editor: arxiv

Differential privacy guarantees of Markov chain Monte Carlo algorithms

Autores: Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Durmus
Publicado en: ICML 2025, 2025
Editor: ICML 2025

Improved learning rates in multi-unit uniform price auctions

Autores: Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan
Publicado en: Neurips proceedings 2024, 2024
Editor: Neurips proceedings 2024

Valid Selection among Conformal Sets

Autores: Mahmoud Hegazy, Liviu Aolaritei, Michael I. Jordan, Aymeric Dieuleveut
Publicado en: Neurips 2025, 2025
Editor: Neurips 2025

Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up

Autores: Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
Publicado en: 2025
Editor: ICML2025

Empirical Privacy Variance

Autores: Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David Forsyth
Publicado en: ICML 2025, 2025
Editor: ICML 2025

Stopping Rules for Stochastic Gradient Descent via Anytime-Valid Confidence Sequences

Autores: Liviu Aolaritei, Michael I. Jordan
Publicado en: 2025
Editor: arxiv

Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

Autores: Yazid Janati, Badr MOUFAD, Alain Durmus, Eric Moulines, Jimmy Olsson
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

DAVED: Data Acquisition via Experimental Design for Data Markets

Autores: Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael Jordan, Ramesh Raskar
Publicado en: 2024
Editor: arxiv

Fair Allocation in Dynamic Mechanism Design

Autores: Alireza Fallah, Michael I. Jordan, Annie Ulichney
Publicado en: Neurips 2024, 2024, ISSN 2331-8422
Editor: Neurips 2024

Incentivized Learning in Principal-Agent Bandit Games

Autores: Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus
Publicado en: ICML 2024, 2024, ISSN 2640-3498
Editor: The Proceedings of Machine Learning Research

Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting

Autores: Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

On integral priors for multiple comparison in Bayesian model selection

Autores: Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Publicado en: 2024
Editor: Arxiv

Privacy Guarantees in Posterior Sampling under Contamination

Autores: Shenggang Hu, Louis Aslett, Hongsheng Dai, Murray Pollock, Gareth O Roberts
Publicado en: 2024, ISSN 2331-8422
Editor: arxiv

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

Autores: Sergey Samsonov, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization

Autores: Marius Potfer, Vianney Perchet
Publicado en: Neurips 2025, 2025
Editor: Neurips 2025
DOI: 10.48550/ARXIV.2510.19591

Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity

Autores: Eric Zhao, Tatjana Chavdarova, Michael Jordan
Publicado en: 2024
Editor: arxiv

Improved Algorithms for Contextual Dynamic Pricing

Autores: Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Privacy Can Arise Endogenously in an Economic System with Learning Agents

Autores: Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner, Sai Praneeth Karimireddy, Michael I. Jordan
Publicado en: FORC 2024, 2024
Editor: FORC 2024
DOI: 10.4230/LIPIcs.FORC.2024.9

Fairness-Aware Meta-Learning via Nash Bargaining

Autores: Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
Publicado en: Neurips 2024, 2024, ISSN 2331-8422
Editor: Neurips 2024

Structured Matrix Scaling for Multi-Class Calibration

Autores: Eugène Berta, David Holzmüller, Michael I. Jordan, Francis Bach
Publicado en: AISTAT 2026, 2025
Editor: AISTAT 2026

Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows

Autores: Francesca R Crucinio, Adam M Johansen
Publicado en: 2024
Editor: arxiv

Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality

Autores: Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I Jordan, Alain Durmus
Publicado en: Neurips proceedings 2024, 2024, ISSN 2331-8422
Editor: Neurips 2024

Unravelling in Collaborative Learning

Autores: Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
Publicado en: Neurips proceedings 2024, 2024, ISSN 2331-8422
Editor: Neurips proceedings 2024

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits

Autores: Dorian Baudry, Hugo Richard, Maria Cherifa, Vianney Perchet, Clément Calauzènes
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Relying on the Metrics of Evaluated Agents

Autores: Serena Wang, Michael Jordan, Katrina Ligett, R. Preston McAfee
Publicado en: Proceedings of the ACM on Web Conference 2025, 2025
Editor: ACM
DOI: 10.1145/3696410.3714864

Piecewise deterministic generative models

Autores: A. bertazzi, A. Durmus, D. Shariatian, U. Simsekli, E. Moulines
Publicado en: Neurips 2024, 2024
Editor: Neurips proceedings 2024

Scalable Utility-Aware Multiclass Calibration

Autores: Mahmoud Hegazy, Michael I. Jordan, Aymeric Dieuleveut
Publicado en: Neurips 2025, 2025
Editor: Neurips 2025

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games

Autores: Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Laurière, Eric Moulines
Publicado en: ICML 2025, 2025
Editor: ICML 2025

Wasserstein Convergence of Critically Damped Langevin Diffusions

Autores: Stanislas Strasman, Sobihan Surendran , Claire Boyer, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello
Publicado en: 2025
Editor: Neurips 2025

Theoretical guarantees in KL for Diffusion Flow Matching

Autores: Marta Gentiloni Silveri, Alain Durmus, Giovanni Conforti
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Addressing Bias in Online Selection with Limited Budget of Comparisons

Autores: Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Online Decision Focused Learning

Autores: Aymeric Capitaine, Maxime Haddouche, Eric Moulines, Michael I. Jordan, Etienne Boursier, Alain Durmus
Publicado en: ICLR 2026, 2025
Editor: ICLR 2026
DOI: 10.48550/ARXIV.2505.13564

Class-Conditional Conformal Prediction with Many Classes

Autores: Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
Publicado en: Neurips proceedings 2024, 2024, ISSN 1234-5678
Editor: Neurips 2024

Conditioning diffusion models by explicit forward-backward bridging

Autores: Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Publicado en: AISTAT 2025, 2024
Editor: AISTAT 2025

On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry

Autores: Serena Wang, Stephen Bates, P Aronow, Michael Jordan
Publicado en: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Editor: Proceedings of Machine Learning Research

Backward Conformal Prediction

Autores: Etienne Gauthier, Francis Bach, Michael I. Jordan
Publicado en: 2025
Editor: Neurips 2025

Dimension-free Private Mean Estimation for Anisotropic Distributions

Autores: Yuval Dagan, Michael Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy
Publicado en: Neurips proceedings 2024, 2024
Editor: Neurips proceedings 2024

The Value of Reward Lookahead in Reinforcement Learning

Autores: Nadav Merlis, Dorian Baudry, Vianney Perchet
Publicado en: Neurips 2024, 2024
Editor: Neurips 2024

Exponential Convergence Guarantees for Iterative Markovian Fitting

Autores: Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Publicado en: Neurips 2025, 2025
Editor: Neurips 2025
DOI: 10.48550/ARXIV.2510.20871

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