On intelligenCE And Networks

Información del proyecto

OCEAN

Identificador del acuerdo de subvención: 101071601

DOI

10.3030/101071601

Fecha de la firma de la CE 27 Febrero 2023

Fecha de inicio 1 Marzo 2023

Fecha de finalización 28 Febrero 2029

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 7 762 668,75

Aportación de la UE

€ 7 762 668,75

Coordinado por

ECOLE POLYTECHNIQUE
France

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Other (20)

Exact Bayesian inference for Markov switching diffusions

Autores: Timothée Stumpf-Fétizon, Krzysztof Łatuszyński, Jan Palczewski, Gareth Roberts
Publicado en: 2025
Editor: arxiv

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

Differential privacy guarantees of Markov chain Monte Carlo algorithms

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

Prediction-Aware Learning in Multi-Agent Systems

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

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

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

Autores: Bastien Batardière, Julien Chiquet, Joon Kwon, Julien Stoehr
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

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

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: arxiv, 2025
Editor: arxiv

Discrete Markov Probabilistic Models

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

Conditioning diffusion models by explicit forward-backward bridging

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

Composite likelihood inference for the Poisson log-normal model

Autores: Julien Stoehr, Stephane Robin
Publicado en: arxiv, 2024
Editor: arxiv

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

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

Peer reviewed articles (9)

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

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

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

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

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

Conference proceedings (37)

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: 2025
Editor: arxiv

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

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

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

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: 2024
Editor: arxiv

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

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

Autores: Meena Jagadeesan, Michael I. Jordan, and Jacob Steinhardt
Publicado en: 2024
Editor: arxiv

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: 2024, ISSN 2331-8422
Editor: arxiv

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

Information Elicitation in Agency Games

Autores: Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee
Publicado en: 2024
Editor: arxiv

Piecewise deterministic generative models

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

Stereographic Markov Chain Monte Carlo

Autores: Jun Yang, K. Latuszy'nski, G. Roberts
Publicado en: 2024, ISSN 2331-8422
Editor: arxiv

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

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

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

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

Autores: Julian Hofstadler, Krzysztof Latuszynski, Gareth O Roberts, Daniel Rudolf
Publicado en: 2024, ISSN 2331-8422
Editor: arxiv