A Primer on PAC-Bayesian Learning

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A Primer on PAC-Bayesian Learning

16 January 2019

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Papers citing "A Primer on PAC-Bayesian Learning"

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Title
A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif Pierre Alquier Mohammad Emtiyaz Khan BDL 69 27 0 08 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification L. Duan 58 9 0 21 Mar 2019
Revisiting clustering as matrix factorisation on the Stiefel manifold Stéphane Chrétien Benjamin Guedj 56 3 0 11 Mar 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 98 53 0 28 Jan 2019
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis Yusuke Tsuzuku Issei Sato Masashi Sugiyama 84 77 0 15 Jan 2019
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly Benjamin Guedj Le Li 23 7 0 18 May 2018