Dimitris Stamos

14 papers A* 3A 2Journal 7Unranked 1

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