On intelligenCE And Networks

Project Information

OCEAN

Grant agreement ID: 101071601

DOI

10.3030/101071601

EC signature date 27 February 2023

Start date 1 March 2023

End date 28 February 2029

Funded under

• European Research Council (ERC)

Total cost

€ 7 762 668,75

EU contribution

€ 7 762 668,75

Coordinated by

ECOLE POLYTECHNIQUE
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Other (20)

Exact Bayesian inference for Markov switching diffusions

Author(s): Timothée Stumpf-Fétizon, Krzysztof Łatuszyński, Jan Palczewski, Gareth Roberts
Published in: 2025
Publisher: arxiv

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

Author(s): Hongsheng Dai, Xiequan Fan, Jianya Lu
Published in: 2024
Publisher: arxiv

Sampling with time-changed Markov processes

Author(s): Andrea Bertazzi, Giorgos Vasdekis
Published in: 2025
Publisher: arxiv

Differential privacy guarantees of Markov chain Monte Carlo algorithms

Author(s): Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Durmus
Published in: arxiv, 2025
Publisher: arxiv

Prediction-Aware Learning in Multi-Agent Systems

Author(s): Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
Published in: 2025
Publisher: arxiv

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

Author(s): Chatchuea Kimchaiwong, Jeremie Houssineau, Adam M. Johansen
Published in: 2024
Publisher: arxiv

On integral priors for multiple comparison in Bayesian model selection

Author(s): Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Published in: arxiv, 2024
Publisher: arxiv

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

Author(s): Bastien Batardière, Julien Chiquet, Joon Kwon, Julien Stoehr
Published in: arxiv, 2024
Publisher: arxiv

Career Modeling with Missing Data and Traces

Author(s): Théo Voldoire, Robin J. Ryder, Ryan Lahfa
Published in: arxiv, 2024
Publisher: arxiv

Optimal Design for Reward Modeling in RLHF

Author(s): Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I. Jordan, Pierre Ménard, Eric Moulines, Michal Valko
Published in: 2024
Publisher: arxiv

Annealed variational mixtures for disease subtyping and biomarker discovery

Author(s): Emma Prevot, Rory Toogood, Filippo Pagani, Paul D. W. Kirk
Published in: 2024
Publisher: arxiv

Phylogenetic latent space models for network data

Author(s): Federico Pavone, Daniele Durante, Robin J. Ryder
Published in: arxiv, 2025
Publisher: arxiv

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

Author(s): Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
Published in: 2024
Publisher: arxiv

A Principled Approach to Bayesian Transfer Learning

Author(s): Adam Bretherton, Joshua J. Bon, David J. Warne, Kerrie Mengersen, Christopher Drovandi
Published in: arxiv, 2025
Publisher: arxiv

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

Author(s): Marta Gentiloni-Silveri, Antonio Ocello
Published in: 2025
Publisher: arxiv

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

Author(s): Ziyad Benomar, Lorenzo Croissant, Vianney Perchet, Spyros Angelopoulos
Published in: arxiv, 2025
Publisher: arxiv

Discrete Markov Probabilistic Models

Author(s): Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Durmus
Published in: 2025
Publisher: arxiv

Conditioning diffusion models by explicit forward-backward bridging

Author(s): Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Published in: 2024
Publisher: arxiv

Composite likelihood inference for the Poisson log-normal model

Author(s): Julien Stoehr, Stephane Robin
Published in: arxiv, 2024
Publisher: arxiv

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

Author(s): Gareth O. Roberts, Jeffrey S. Rosenthal
Published in: 2025
Publisher: arxiv

Peer reviewed articles (9)

Sampling using adaptive regenerative processes

Author(s): Hector McKimm, Andi Wang, Murray Pollock, Christian Robert, Gareth Roberts
Published in: Bernoulli, Issue 31, 2024, ISSN 1350-7265
Publisher: Bernoulli Society for Mathematical Statistics and Probability
DOI: 10.3150/24-BEJ1737

Bernoulli factory: The 2-coin problem

Author(s): Shenggang Hu, Bo Zhang, Hongsheng Dai, Wei Liang
Published in: Monte Carlo Methods and Applications, Issue 30, 2024, ISSN 0929-9629
Publisher: Walter de Gruyter GmbH
DOI: 10.1515/MCMA-2024-2016

Statistical disaggregation—A Monte Carlo approach for imputation under constraints

Author(s): Shenggang Hu, Hongsheng Dai, Fanlin Meng, Louis Aslett, Murray Pollock, Gareth O. Roberts
Published in: Scandinavian Journal of Statistics, Issue 52, 2025, ISSN 0303-6898
Publisher: Wiley
DOI: 10.1111/SJOS.12790

Modelling Pathwise Uncertainty of Stochastic Differential Equations Samplers via Probabilistic Numerics

Author(s): Yvann Le Fay, Simo Särkkä, Adrien Corenflos
Published in: Bayesian Analysis, Issue -1, 2025, ISSN 1936-0975
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/25-BA1522

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

Author(s): Adrien Corenflos, Simo Särkkä
Published in: Electronic Journal of Statistics, Issue 19, 2025, ISSN 1935-7524
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/25-EJS2363

Unbiased and consistent nested sampling via sequential Monte Carlo

Author(s): Robert Salomone, Leah F South, Christopher Drovandi, Dirk P Kroese, Adam M Johansen
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology, Issue 87, 2025, ISSN 1369-7412
Publisher: Oxford University Press (OUP)
DOI: 10.1093/JRSSSB/QKAF015

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

Author(s): Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
Published in: SIAM Journal on Scientific Computing, Issue 47, 2025, ISSN 1064-8275
Publisher: Society for Industrial & Applied Mathematics (SIAM)
DOI: 10.1137/23M156121X

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

Author(s): Wei Liang, Haicheng Huang, Hongsheng Dai, Yinghui Wei
Published in: Journal of Nonparametric Statistics, 2025, ISSN 1048-5252
Publisher: Informa UK Limited
DOI: 10.1080/10485252.2025.2492254

Scaling of piecewise deterministic Monte Carlo for anisotropic targets

Author(s): Joris Bierkens, Kengo Kamatani, Gareth O. Roberts
Published in: Bernoulli, Issue 31, 2025, ISSN 1350-7265
Publisher: Bernoulli Society for Mathematical Statistics and Probability
DOI: 10.3150/24-BEJ1807

Conference proceedings (37)

Particle Semi-Implicit Variational Inference

Author(s): Jen Ning Lim, Adam Johansen
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy

Author(s): Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan
Published in: AISTAT 2025, 2024
Publisher: AISTAT 2025

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

Author(s): Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines
Published in: AISTAT 2025, 2024
Publisher: AISTAT 2025

The Statistical Fairness-Accuracy Frontier

Author(s): Alireza Fallah, Michael I. Jordan, Annie Ulichney
Published in: 2025
Publisher: arxiv

Delegating Data Collection in Decentralized Machine Learning

Author(s): Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
Published in: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Publisher: Proceedings of Machine Learning Research

Learning Contracts in Hierarchical Multi-Agent Systems

Author(s): Antoine Scheid, Etienne Boursier, Alain Durmus, Eric Moulines, Michael Jordan
Published in: 2025
Publisher: arxiv

Improved learning rates in multi-unit uniform price auctions

Author(s): Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan
Published in: Neurips proceedings 2024, 2024
Publisher: Neurips proceedings 2024

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

Author(s): Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
Published in: 2025
Publisher: ICML2025

Empirical Privacy Variance

Author(s): Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David Forsyth
Published in: ICML 2025, 2025
Publisher: ICML 2025

Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

Author(s): Yazid Janati, Badr MOUFAD, Alain Durmus, Eric Moulines, Jimmy Olsson
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

DAVED: Data Acquisition via Experimental Design for Data Markets

Author(s): Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael Jordan, Ramesh Raskar
Published in: 2024
Publisher: arxiv

Fair Allocation in Dynamic Mechanism Design

Author(s): Alireza Fallah, Michael I. Jordan, Annie Ulichney
Published in: Neurips 2024, 2024, ISSN 2331-8422
Publisher: Neurips 2024

Incentivized Learning in Principal-Agent Bandit Games

Author(s): Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus
Published in: ICML 2024, 2024, ISSN 2640-3498
Publisher: The Proceedings of Machine Learning Research

Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting

Author(s): Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

On integral priors for multiple comparison in Bayesian model selection

Author(s): Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Published in: 2024
Publisher: Arxiv

Privacy Guarantees in Posterior Sampling under Contamination

Author(s): Shenggang Hu, Louis Aslett, Hongsheng Dai, Murray Pollock, Gareth O Roberts
Published in: 2024, ISSN 2331-8422
Publisher: arxiv

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

Author(s): Sergey Samsonov, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov
Published in: 2024
Publisher: arxiv

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

Author(s): Eric Zhao, Tatjana Chavdarova, Michael Jordan
Published in: 2024
Publisher: arxiv

Improved Algorithms for Contextual Dynamic Pricing

Author(s): Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Privacy Can Arise Endogenously in an Economic System with Learning Agents

Author(s): Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner, Sai Praneeth Karimireddy, Michael I. Jordan
Published in: FORC 2024, 2024
Publisher: FORC 2024
DOI: 10.4230/LIPIcs.FORC.2024.9

Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry

Author(s): Meena Jagadeesan, Michael I. Jordan, and Jacob Steinhardt
Published in: 2024
Publisher: arxiv

Fairness-Aware Meta-Learning via Nash Bargaining

Author(s): Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
Published in: 2024, ISSN 2331-8422
Publisher: arxiv

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

Author(s): Francesca R Crucinio, Adam M Johansen
Published in: 2024
Publisher: arxiv

Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality

Author(s): Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I Jordan, Alain Durmus
Published in: Neurips proceedings 2024, 2024, ISSN 2331-8422
Publisher: Neurips 2024

Unravelling in Collaborative Learning

Author(s): Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
Published in: Neurips proceedings 2024, 2024, ISSN 2331-8422
Publisher: Neurips proceedings 2024

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits

Author(s): Dorian Baudry, Hugo Richard, Maria Cherifa, Vianney Perchet, Clément Calauzènes
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Information Elicitation in Agency Games

Author(s): Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee
Published in: 2024
Publisher: arxiv

Piecewise deterministic generative models

Author(s): A. bertazzi, A. Durmus, D. Shariatian, U. Simsekli, E. Moulines
Published in: Neurips 2024, 2024
Publisher: Neurips proceedings 2024

Stereographic Markov Chain Monte Carlo

Author(s): Jun Yang, K. Latuszy'nski, G. Roberts
Published in: 2024, ISSN 2331-8422
Publisher: arxiv

Theoretical guarantees in KL for Diffusion Flow Matching

Author(s): Marta Gentiloni Silveri, Alain Durmus, Giovanni Conforti
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Addressing Bias in Online Selection with Limited Budget of Comparisons

Author(s): Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Class-Conditional Conformal Prediction with Many Classes

Author(s): Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
Published in: Neurips proceedings 2024, 2024, ISSN 1234-5678
Publisher: Neurips 2024

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

Author(s): Serena Wang, Stephen Bates, P Aronow, Michael Jordan
Published in: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Publisher: Proceedings of Machine Learning Research

Backward Conformal Prediction

Author(s): Etienne Gauthier, Francis Bach, Michael I. Jordan
Published in: 2025
Publisher: Neurips 2025

Dimension-free Private Mean Estimation for Anisotropic Distributions

Author(s): Yuval Dagan, Michael Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy
Published in: Neurips proceedings 2024, 2024
Publisher: Neurips proceedings 2024

The Value of Reward Lookahead in Reinforcement Learning

Author(s): Nadav Merlis, Dorian Baudry, Vianney Perchet
Published in: Neurips 2024, 2024
Publisher: Neurips 2024

Almost sure convergence rates of adaptive increasingly rare Markov chain Monte Carlo

Author(s): Julian Hofstadler, Krzysztof Latuszynski, Gareth O Roberts, Daniel Rudolf
Published in: 2024, ISSN 2331-8422
Publisher: arxiv