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Psychophysical Detection Testing with Bayesian Active Learning.

, , , , и . UAI, стр. 286-295. AUAI Press, (2015)

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John P Burrows

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John P Dickson

John P Teschke

 

Другие публикации лиц с тем же именем

Workshop summary: Numerical mathematics in machine learning., , и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 9. ACM, (2009)Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning., , , и . ICBINB@NeurIPS, том 137 из Proceedings of Machine Learning Research, стр. 1-10. PMLR, (2020)Hierarchical Inducing Point Gaussian Process for Inter-domian Observations., , , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2926-2934. PMLR, (2021)Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax., , и . CoRR, (2019)Annular Augmentation Sampling., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 139-147. PMLR, (2017)Posterior Collapse and Latent Variable Non-identifiability., , и . NeurIPS, стр. 5443-5455. (2021)Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome., , и . NeurIPS, (2022)Empirical models of spiking in neural populations., , , , , и . NIPS, стр. 1350-1358. (2011)The continuous Bernoulli: fixing a pervasive error in variational autoencoders., и . NeurIPS, стр. 13266-13276. (2019)Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity., , , , , и . NIPS, стр. 1881-1888. Curran Associates, Inc., (2008)