Efficient Bayesian network structure learning via local Markov boundary search

von Gao, Ming
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

GLOBALLY OPTIMAL SCORE-BASED LEARNING OF DIRECTED ACYCLIC GRAPHS IN HIGH-DIMENSIONS

von Aragam, Bryon
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

A POLYNOMIAL-TIME ALGORITHM FOR LEARNING NONPARAMETRIC CAUSAL GRAPHS

von Gao, Ming
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

von Bello, Kevin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

LEARNING SAMPLE-SPECIFIC MODELS WITH LOW-RANK PERSONALIZED REGRESSIO

von Lengerich, Ben
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families

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

Learning latent causal graphs via mixture oracles

von Kivva, Bohdan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Identifiability of deep generative models without auxiliary information

von Kivva, Bohdan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 21 of 50 (2023)

AUTOMATED DEPENDENCE PLOTS

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