Giulia Denevi
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Learning-to-learn stochastic gradient descent with biased regularization
G Denevi, C Ciliberto, R Grazzi, M Pontil
International Conference on Machine Learning, 1566-1575, 2019
462019
Learning to learn around a common mean
G Denevi, C Ciliberto, D Stamos, M Pontil
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018) 31, 2018
362018
Incremental learning-to-learn with statistical guarantees
G Denevi, C Ciliberto, D Stamos, M Pontil
arXiv preprint arXiv:1803.08089, 2018
332018
Online-within-online meta-learning
G Denevi, D Stamos, C Ciliberto, M Pontil
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) 32, 1-11, 2019
182019
The advantage of conditional meta-learning for biased regularization and fine-tuning
G Denevi, M Pontil, C Ciliberto
arXiv preprint arXiv:2008.10857, 2020
102020
Conditional meta-learning of linear representations
G Denevi, M Pontil, C Ciliberto
arXiv preprint arXiv:2103.16277, 2021
12021
Iterative algorithms for a non-linear inverse problem in atmospheric lidar
G Denevi, S Garbarino, A Sorrentino
Inverse Problems 33 (8), 085010, 2017
12017
Online Parameter-Free Learning of Multiple Low Variance Tasks
G Denevi, M Pontil, D Stamos
Conference on Uncertainty in Artificial Intelligence, 889-898, 2020
2020
Efficient Lifelong Learning Algorithms: Regret Bounds and Statistical Guarantees
G Denevi
Universitā degli Studi di Genova & Istituto Italiano di Tecnologia, 2019
2019
Berhu Penalty for Matrix and Tensor Estimation
G Denevi, M Donini, M Pontil
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Artiklar 1–10