META-LEARNING FROM TASKS WITH HETEROGENEOUS ATTRIBUTE SPACES

von Iwata, Tomoharu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

Sharing Knowledge for Meta-learning with Feature Descriptions

von Iwata, Tomoharu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

Meta-Learning for Relative Density-Ratio Estimation

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

TRANSFER ANOMALY DETECTION BY INFERRING LATENT DOMAIN REPRESENTATIONS

von Kumagai, Atsutoshi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

Deep Reinforcement Learning for Pedestrian Guidance

von Shimizu, Hitoshi
Veröffentlicht in PRIMA (23. : 2020 : Online) PRIMA 2020: principles and practice of multi-agent systems (2021)

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data

von Tanaka, Yusuke
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion

von Kumagai, Atsutoshi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

Loss function based second-order Jensen inequality and its application to particle variational inference

von Futami, Futoshi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

FAST DETERMINISTIC CUR MATRIX DECOMPOSITION WITH ACCURACY ASSURANCE

von Ida, Yasutoshi
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

SPATIALLY AGGREGATED GAUSSIAN PROCESSES WITH MULTIVARIATE AREAL OUTPUTS

von Tanaka, Yusuke
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)