Backward simulation methods for Monte Carlo statistical inference

von Lindsten, Fredrik
Veröffentlicht 2013

CALIBRATION TESTS IN MULTI-CLASS CLASSIFICATION: A UNIFYING FRAMEWORK

von Widmann, David
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Scalable Deep Gaussian Markov Random Fields for General Graphs

von Oskarsson, Joel
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 21 of 33 (2023)

MARKOVIAN SCORE CLIMBING: VARIATIONAL INFERENCE WITH KL(PIIQ)

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

PSEUDO-EXTENDED MARKOV CHAIN MONTE CARLO

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

Elements of sequential Monte Carlo

von Naesseth, Christian A.
Veröffentlicht 2019

Machine learning : a first course for engineers and scientists

von Lindholm, Andreas
Veröffentlicht 2022