2024
Wu, Yantao; Maggioni, Mauro
Conditional Regression for the Nonlinear Single-Variable Model Bachelor Thesis
2024.
Links | BibTeX | Tags: Machine learning, regression, statistics, supervised learning
@bachelorthesis{nokey,
title = {Conditional Regression for the Nonlinear Single-Variable Model},
author = {Yantao Wu and Mauro Maggioni},
url = {https://doi.org/10.48550/arXiv.2411.09686},
year = {2024},
date = {2024-11-14},
urldate = {2024-11-14},
journal = {arXiv},
keywords = {Machine learning, regression, statistics, supervised learning},
pubstate = {published},
tppubtype = {bachelorthesis}
}
2023
An, Qingci; Kevrekidis, Yannis; Lu, Fei; Maggioni, Mauro
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Journal Article
In: Foundations of Data Science, 2023.
Links | BibTeX | Tags: computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning
@article{nokey,
title = {Unsupervised learning of observation functions in state-space models by nonparametric moment methods},
author = {Qingci An and Yannis Kevrekidis and Fei Lu and Mauro Maggioni},
url = {https://arxiv.org/abs/2207.05242
https://doi.org/10.3934/fods.2023002},
doi = {10.3934/fods.2023002},
year = {2023},
date = {2023-02-01},
urldate = {2023-02-01},
journal = {Foundations of Data Science},
keywords = {computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
2022
Lanteri, Alessandro; Maggioni, Mauro; Vigogna, Stefano
Conditional regression for single-index models Journal Article
In: Bernoulli, 2022.
Links | BibTeX | Tags: regression, statistics
@article{aless2020conditional,
title = {Conditional regression for single-index models},
author = {Alessandro Lanteri and Mauro Maggioni and Stefano Vigogna},
url = {https://www.e-publications.org/ims/submission/BEJ/user/submissionFile/49273?confirm=22a655d7
https://arxiv.org/abs/2002.10008},
doi = {10.3150/22-BEJ1482},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Bernoulli},
keywords = {regression, statistics},
pubstate = {published},
tppubtype = {article}
}
- Lectures at Summer School at Peking University, July 2017.
- PCMI Lectures, Summer 2016: Lecture 1, Lecture 2, Problems/discussion points
- Google Scholar
- Papers on the ArXiv
- Papers on MathsciNet
- Tutorials on diffusion geometry and multiscale analysis on graphs at the MRA Internet Program at IPAM: Part I and Part II.
- Diffusion Geometries, Diffusion Wavelets and Harmonic Analysis of large data sets, IPAM, Multiscale Geometric Analysis Program, Fall 2004.
- Diffusion Geometries, global and multiscale, IPAM, 2005.