Verità e dimostrazione : Questioni di matematica. Presentazione di Carlo Ciliberto

Veröffentlicht 1978

PSD Representations for Effective Probability Models

von Rudi, Alessandro
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

Donato Greco

von Ciliberto, Carlo
Veröffentlicht 1998

THE ADVANTAGE OF CONDITIONAL META-LEARNING FOR BIASED REGULARIZATION AND FINE TUNING

von Denevi, Giulia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

LOCALIZED STRUCTURED PREDICTION

von Ciliberto, Carlo
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Distribution Regression with Sliced Wasserstein Kernels

von Meunier, Dimitri
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

The Role of Global Labels in Few-Shot Classification and How to Infer Them

von Wang, Ruohan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

Conditional Meta-Learning of Linear Representations

von Denevi, Giulia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 1 of 50 (2023)

STRUCTURED PREDICTION FOR CONDITIONAL META-LEARNING

von Wang, Ruohan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

ONLINE-WITHIN-ONLINE META-LEARNING

von Denevi, Giulia
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

Measuring Dissimilarity with Diffeomorphism Invariance

von Cantelobre, Théophile
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 4 of 33 (2023)

EXPLOITING MMD AND SINKHORN DIVERGENCES FOR FAIR AND TRANSFERABLE REPRESENTATION LEARNING

von Oneto, Luca
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces

von Kostic, Vladimir
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 6 of 50 (2023)