LEARNING BINARY DECISION TREES BY ARGMIN DIFFERENTIATION

von ZANTEDESCHI, VALENTINA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

A CLASS OF ALGORITHMS FOR GENERAL INSTRUMENTAL VARIABLE MODELS

von Kilbertus, Niki
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

When Do Flat Minima Optimizers Work?

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

Causal Effect Inference for Structured Treatments

von Kaddour, Jean
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

A MODEL TO SEARCH FOR SYNTHESIZABLE MOLECULES

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

Local Latent Space Bayesian Optimization over Structured Inputs

von Maus, Natalie
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Barking up the right tree: an approach to search over molecule synthesis DAGs

von Bradshaw, John
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

PROXIMAL CAUSAL LEARNING WITH KERNELS: TWO-STAGE ESTIMATION AND MOMENT RESTRICTION

von MASTOURI, AFSANEH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)