KERNEL CONDITIONAL MOMENT TEST VIA MAXIMUM MOMENT RESTRICTION

von MUANDET, KRIKAMOL
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 1 of 3 (2021)

TESTING GOODNESS OF FIT OF CONDITIONAL DENSITY MODELS WITH KERNELS

von JITKRITTUM, WITTAWAT
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 1 of 3 (2021)

LEARNING KERNEL TESTS WITHOUT DATA SPLITTING

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

A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch

von Sangkloy, Patsorn
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 38 (2022)

KERNEL STEIN TESTS FOR MULTIPLE MODEL COMPARISON

von Lim, Jen Ning
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

Post-hoc estimators for learning to defer to an expert

von Narasimhan, Harikrishna
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 38 of 50 (2023)

DISENTANGLING LABELING AND SAMPLING BIAS FOR LEARNING IN LARGE-OUTPUT SPACES

von RAWAT, ANKIT SINGH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)