Dimitris Stamos

According to our database, Dimitris Stamos authored at least 11 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Frameworks for learning from multiple tasks.

Dimitris Stamos

PhD thesis, 2020

Online Parameter-Free Learning of Multiple Low Variance Tasks.

Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Online-Within-Online Meta-Learning.

Giulia Denevi, Dimitris Stamos, Carlo Ciliberto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction.

Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Incremental Learning-to-Learn with Statistical Guarantees.

Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning To Learn Around A Common Mean.

Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Reexamining Low Rank Matrix Factorization for Trace Norm Regularization.

Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil

CoRR, 2017

2016

New Perspectives on k-Support and Cluster Norms.

Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos

J. Mach. Learn. Res., 2016

Fitting Spectral Decay with the k-Support Norm.

Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Learning with dataset bias in latent subcategory models.

Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Spectral k-Support Norm Regularization.

Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014