关注
Manuel Sáenz
Manuel Sáenz
Assistant Professor, University of Nottingham
在 nottingham.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A discussion on the origin of quantum probabilities
F Holik, A Plastino, M Sáenz
Annals of Physics 340 (1), 293-310, 2014
452014
Fundamental limits in structured principal component analysis and how to reach them
J Barbier, F Camilli, M Mondelli, M Sáenz
Proceedings of the National Academy of Sciences 120 (30), e2302028120, 2023
33*2023
Performance of Bayesian linear regression in a model with mismatch
J Barbier, WK Chen, D Panchenko, M Sáenz
arXiv preprint arXiv:2107.06936, 2021
222021
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures
J Barbier, D Panchenko, M Sáenz
Information and Inference: A Journal of the IMA, 2021
152021
Natural information measures in Cox' approach for contextual probabilistic theories
F Holik, A Plastino, M Sáenz
Quant. Inform. and Comp., 2016 vol. 16 p. 87 - 104, 2016
152016
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
J Barbier, TQ Hou, M Mondelli, M Saenz
Advances in Neural Information Processing Systems 35, 36733--36747, 2022
142022
Asymptotic optimality of degree-greedy discovering of independent sets in Configuration Model graphs
M Jonckheere, M Sáenz
Stochastic Processes and their Applications 131, 122-150, 2021
92021
Degree-Greedy Algorithms on Large Random Graphs
P Bermolen, M Jonckheere, F Larroca, M Saenz
ACM SIGMETRICS Performance Evaluation Review 46 (3), 27-32, 2019
62019
Generalized Probabilities in Statistical Theories
F Holik, C Massri, A Plastino, M Sáenz
Quantum Reports 3 (3), 389-416, 2021
52021
Marginals of a spherical spin glass model with correlated disorder
J Barbier, M Sáenz
Electron. Commun. Probab. 27 (2022), 2022
42022
Exact asymptotic characterisation of running time for approximate gradient descent on random graphs
M Jonckheere, M Sáenz
arXiv preprint arXiv:2105.04228, 2021
2021
系统目前无法执行此操作,请稍后再试。
文章 1–11