Learning To Learn Around A Common Mean. - Giulia Denevi; Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (NeurIPS, 2018)

Incremental Learning-to-Learn with Statistical Guarantees. - Giulia Denevi; Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (UAI, 2018)

Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. - Giulia Denevi; Carlo Ciliberto; Riccardo Grazzi; Massimiliano Pontil (ICML, 2019)

Online-Within-Online Meta-Learning. - Giulia Denevi; Dimitris Stamos; Carlo Ciliberto; Massimiliano Pontil (NeurIPS, 2019)

Efficient Lifelong Learning Algorithms: Regret Bounds and Statistical Guarantees. - Giulia Denevi (2019)

The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning. - Giulia Denevi; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2020)

Online Parameter-Free Learning of Multiple Low Variance Tasks. - Giulia Denevi; Massimiliano Pontil; Dimitrios Stamos (UAI, 2020)

Conditional Meta-Learning of Linear Representations. - Giulia Denevi; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2022)

Incremental Automatic Image Annotation. - Luigi Sabetta; Francesco Pelosin; Giulia Denevi; Alessandro Nicolosi (Ital-IA, 2023)