Dimitris Stamos

A meta-learning BCI for estimating decision confidence

M. Pontil, L. Citi, R. Poli, 2022, Journal of neural engineering.

Fitting Spectral Decay with the k-Support Norm

Massimiliano Pontil, Dimitris Stamos, Andrew M. McDonald, 2016, AISTATS.

Spectral k-Support Norm Regularization

Massimiliano Pontil, Dimitris Stamos, Andrew M. McDonald, 2014, NIPS.

Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2019, ICML.

Learning To Learn Around A Common Mean

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2018, NeurIPS.

Incremental Learning-to-Learn with Statistical Guarantees pdf

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2018, UAI.

New Perspectives on k-Support and Cluster Norms pdf

Massimiliano Pontil, Dimitris Stamos, Andrew M. McDonald, 2014, J. Mach. Learn. Res..

Learning with dataset bias in latent subcategory models

Massimiliano Pontil, Vittorio Murino, Samuele Martelli, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Reexamining Low Rank Matrix Factorization for Trace Norm Regularization pdf

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2017, Mathematics in Engineering.