Naviga IRIS

Sfoglia per Serie PROCEEDINGS OF MACHINE LEARNING RESEARCH

Ordina per:

In ordine:

Risultati/Pagina

Vai a: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

o inserisci le iniziali:

Mostrati risultati da 1 a 11 di 11

2022-01-01 Rando, M.; Carratino, L.; Villa, S.; Rosasco, L.

2021-01-01 Bertrand, Q; Massias, M

2020-01-01 Sterge, N; Sriperumbudur, B; Rosasco, L; Rudi, A

2016-01-01 Junhong, Lin; Camoriano, Raffaello; Rosasco, Lorenzo

2020-01-01 Marconi, Gm; Rosasco, L; Ciliberto, C

2018-01-01 Neu, G.; Rosasco, L.; Neu, G.; Rosasco, L.

2018-01-01 D'Amario, Vanessa; Tomasi, Federico; Tozzo, Veronica; Arnulfo, Gabriele; Barla, Annalisa; Nobili, Lino

2022-01-01 Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L.

2022-01-01 Chatalic, A.; Schreuder, N.; Rudi, A.; Rosasco, L.

2016-01-01 Camoriano, Raffaello; Angles, Tomás; Rudi, Alessandro; Rosasco, Lorenzo

2021-01-01 DELLA VECCHIA, Andrea; Mourtada, Jaouad; DE VITO, Ernesto; Rosasco, Lorenzo

Titolo	Data di pubblicazione	Autore(i)
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization	1-gen-2022	Rando, M.; Carratino, L.; Villa, S.; Rosasco, L.
Anderson acceleration of coordinate descent	1-gen-2021	Bertrand, Q; Massias, M
Gain with no Pain: Efficiency of Kernel-PCA by Nystrom Sampling	1-gen-2020	Sterge, N; Sriperumbudur, B; Rosasco, L; Rudi, A
Generalization properties and implicit regularization for multiple passes SGM	1-gen-2016	Junhong, Lin; Camoriano, Raffaello; Rosasco, Lorenzo
Hyperbolic Manifold Regression	1-gen-2020	Marconi, Gm; Rosasco, L; Ciliberto, C
Iterate Averaging as Regularization for Stochastic Gradient Descent	1-gen-2018	Neu, G.; Rosasco, L.; Neu, G.; Rosasco, L.
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy	1-gen-2018	D'Amario, Vanessa; Tomasi, Federico; Tozzo, Veronica; Arnulfo, Gabriele; Barla, Annalisa; Nobili, Lino
Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off	1-gen-2022	Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L.
Nyström Kernel Mean Embeddings	1-gen-2022	Chatalic, A.; Schreuder, N.; Rudi, A.; Rosasco, L.
NYTRO: When Subsampling Meets Early Stopping	1-gen-2016	Camoriano, Raffaello; Angles, Tomás; Rudi, Alessandro; Rosasco, Lorenzo
Regularized ERM on random subspaces	1-gen-2021	DELLA VECCHIA, Andrea; Mourtada, Jaouad; DE VITO, Ernesto; Rosasco, Lorenzo

Mostrati risultati da 1 a 11 di 11