Dimitris Stamos

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 10

Top Topics

Incremental Learning

Top Venues

J. Mach. Learn. Res.

Publications

Giulia Denevi, Dimitris Stamos, Massimiliano Pontil
Online Parameter-Free Learning of Multiple Low Variance Tasks. CoRR (2020)
Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. CoRR (2019)
Giulia Denevi, Dimitris Stamos, Carlo Ciliberto, Massimiliano Pontil
Online-Within-Online Meta-Learning. NeurIPS (2019)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Incremental Learning-to-Learn with Statistical Guarantees. UAI (2018)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Learning To Learn Around A Common Mean. NeurIPS (2018)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Incremental Learning-to-Learn with Statistical Guarantees. CoRR (2018)
Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Reexamining Low Rank Matrix Factorization for Trace Norm Regularization. CoRR (2017)
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
New Perspectives on k-Support and Cluster Norms. J. Mach. Learn. Res. 17 (2016)
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
Fitting Spectral Decay with the k-Support Norm. AISTATS (2016)
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
Fitting Spectral Decay with the $k$-Support Norm. CoRR (2016)
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
New Perspectives on $k$-Support and Cluster Norms. CoRR (2015)
Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil
Learning with dataset bias in latent subcategory models. CVPR (2015)
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
Spectral k-Support Norm Regularization. NIPS (2014)