Matteo Ruffini

According to our database, Matteo Ruffini authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending.

Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation.

Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London

CoRR, 2023

Contextual Position Bias Estimation Using a Single Stochastic Logging Policy.

Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims

Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling.

Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini

CoRR, 2022

Modeling Position Bias Ranking for Streaming Media Services.

Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Fair Effect Attribution in Parallel Online Experiments.

Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Ranker-agnostic Contextual Position Bias Estimation.

Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein

CoRR, 2021

2019

Learning latent variable models: efficient algorithms and applications.

Matteo Ruffini

PhD thesis, 2019

2018

A new method of moments for latent variable models.

Matteo Ruffini, Marta Casanellas, Ricard Gavaldà

Mach. Learn., 2018

Generating Synthetic but Plausible Healthcare Record Datasets.

Laura Aviñó, Matteo Ruffini, Ricard Gavaldà

CoRR, 2018

2017

Hierarchical Methods of Moments.

Matteo Ruffini, Guillaume Rabusseau, Borja Balle

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Clustering Patients with Tensor Decomposition.

Matteo Ruffini, Ricard Gavaldà, Esther Limon

Proceedings of the Machine Learning for Health Care Conference, 2017

2012

Uncalibrated View Synthesis with Homography Interpolation.

Pasqualina Fragneto, Andrea Fusiello, Beatrice Rossi, Luca Magri, Matteo Ruffini

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012