Spectral k-Support Norm Regularization. - Andrew M. McDonald; Massimiliano Pontil; Dimitris Stamos (NIPS, 2014)

Learning with dataset bias in latent subcategory models. - Dimitris Stamos; Samuele Martelli; Moin Nabi; Andrew M. McDonald; Vittorio Murino; Massimiliano Pontil (CVPR, 2015)

Fitting Spectral Decay with the k-Support Norm. - Andrew M. McDonald; Massimiliano Pontil; Dimitris Stamos (AISTATS, 2016)

New Perspectives on k-Support and Cluster Norms. - Andrew M. McDonald; Massimiliano Pontil; Dimitris Stamos (J. Mach. Learn. Res., 2016)

Reexamining Low Rank Matrix Factorization for Trace Norm Regularization. - Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (CoRR, 2017)

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)

Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. - Giulia Luise; Dimitrios Stamos; Massimiliano Pontil; Carlo Ciliberto (ICML, 2019)

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

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

Frameworks for learning from multiple tasks. - Dimitris Stamos (2020)