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Luca Masserano
Luca Masserano
PhD student in Statistics and Machine Learning, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
Title
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Cited by
Year
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
N Dalmasso, L Masserano, D Zhao, R Izbicki, AB Lee
arXiv preprint arXiv:2107.03920, 2021
24*2021
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
L Masserano, T Dorigo, R Izbicki, M Kuusela, AB Lee
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
10*2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
L Masserano, SS Rangapuram, S Kapoor, RS Nirwan, Y Park, ...
NeurIPS 2022 Distribution Shifts Workshop, 2022
42022
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
L Masserano, A Shen, M Doro, T Dorigo, R Izbicki, AB Lee
arXiv preprint arXiv:2402.05330, 2024
2024
End-To-End Optimization of the Layout of a Gamma Ray Observatory
T Dorigo, M Aehle, J Donini, M Doro, NR Gauger, R Izbicki, A Lee, ...
arXiv preprint arXiv:2310.01857, 2023
2023
Likelihood-Free Frequentist Inference for Calorimetric Muon Energy Measurement in High-Energy Physics
L Masserano, T Dorigo, R Izbicki, M Kuusela, AB Lee
NeurIPS 2022 Machine Learning and the Physical Sciences Workshop, 2022
2022
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