Follow
Matteo Ruffini
Matteo Ruffini
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Generating synthetic but plausible healthcare record datasets
L Avińó, M Ruffini, R Gavaldą
arXiv preprint arXiv:1807.01514, 2018
322018
Clustering Patients with Tensor Decomposition
M Ruffini, R Gavaldą, E Limón
Machine Learning for Healthcare (MLHC), 2017, 2017
192017
Uncalibrated view synthesis with homography interpolation
P Fragneto, A Fusiello, B Rossi, L Magri, M Ruffini
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
82012
Modeling Position Bias Ranking for Streaming Media Services
M Ruffini, V Bellini, A Buchholz, G Di Benedetto, Y Stein
Companion Proceedings of the Web Conference 2022, 72-76, 2022
62022
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling
A Buchholz, JM Lichtenberg, G Di Benedetto, Y Stein, V Bellini, M Ruffini
arXiv preprint arXiv:2205.06024, 2022
42022
A new method of moments for latent variable models
M Ruffini, M Casanellas, R Gavaldą
Machine Learning 107 (8-10), 1431-1455, 2018
42018
Hierarchical methods of moments
M Ruffini, G Rabusseau, B Balle
Advances in Neural Information Processing Systems 30, 2017
42017
Ranker-agnostic Contextual Position Bias Estimation
OB Mayor, V Bellini, A Buchholz, G Di Benedetto, DM Granziol, M Ruffini, ...
arXiv preprint arXiv:2107.13327, 2021
32021
Is the Brownian bridge a good noise model on the boundary of a circle?
G Aletti, M Ruffini
Annals of the Institute of Statistical Mathematics 69, 389-416, 2017
32017
Is the Brownian bridge a good noise model on the circle?
G ALETTI, M RUFFINI
arXiv preprint arXiv:1210.8245, 2012
32012
A new spectral method for latent variable models
M Ruffini, M Casanellas Rius, R Gavaldą Mestre
Machine learning 107 (8-10), 1431-1455, 2018
22018
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
JM Lichtenberg, A Buchholz, G Di Benedetto, M Ruffini, B London
arXiv preprint arXiv:2309.01120, 2023
2023
Contextual position bias estimation using a single stochastic logging policy
G Di Benedetto, A Buchholz, B London, M Jakimov, Y Stein, ...
2023
Fair Effect Attribution in Parallel Online Experiments
A Buchholz, V Bellini, G Di Benedetto, Y Stein, M Ruffini, F Moerchen
Companion Proceedings of the Web Conference 2022, 77-83, 2022
2022
Ranker-agnostic Contextual Position Bias Estimation
O Barbany Mayor, V Bellini, A Buchholz, G Di Benedetto, DM Granziol, ...
arXiv e-prints, arXiv: 2107.13327, 2021
2021
Learning latent variable models: efficient algorithms and applications
M Ruffini
Universitat Politčcnica de Catalunya, 2019
2019
A canonical form for Gaussian periodic processes
G Aletti, M Ruffini
arXiv preprint arXiv:1202.6182, 2012
2012
The system can't perform the operation now. Try again later.
Articles 1–17