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Unlike in the traditional statistical modeling for which a user typically hand-specify a prior, Neural Processes (NPs) implicitly define a broad class of stochastic processes with neural networks.
Bootstrap methods: another look at the jackknife
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The Elements of Statistical Learning
T. Hastie, R. Tibshirani, and J. Friedman · 2001
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Comparison of Bayesian and maximum likelihood bootstrap measures of phylogenetic reliability
C. J. Douady, F. Delsuc, Y. Boucher, W. F. Doolittle, and D. E. J. P · 2003
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C. E. Rasmussen and C. K. I. Williams · 2006
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Importance weighted autoencoders
Y. Burda, R. Grosse, and R. Salakhutdinov · 2015
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D. P. Kingma and J. Ba · 2015
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Training deep neural networks on noisy labels with bootstrapping
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I. Osband, C. Blundell, A. Pritzel, and B. V. Roy · 2016
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Deep sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. Salakhutdinov, and A. Smola · 2017
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Attentive neural processes
H. Kim, A. Mnih, J. Schwarz, M. Garnelo, S. M. A. Eslami, D. Rosenbaum, and V. Oriol · 2018
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Accurate uncertainties for deep learning using calibrated regression
V. Kuleshov, N. Fenner, and S. Ermon · 2018
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Empirical evaluation of neural process objectives
T. A. Le, H. Kim, M. Garnelo, D. Rosenbaum, J. Schwarz, and Y. W. Teh · 2018
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Using bagged posteriors for robust inference and model criticism
J. H. Huggins and J. W. Miller · 2019
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The functional neural process
C. Louizos, X. Shi, K. Schutte, and M. Welling · 2019
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bayeso: A Bayesian optimization framework in Python
J. Kim and S. Choi · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
B. Lakshminarayanan, A. Pritzel, and C. Blundell · 2017
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The amortized bootstrap
E. Nalisnick and P. Smyth · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
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Conditional neural processes
M. Garnelo, D. Rosenbaum, C. J. Maddison, T. Ramalho, D. Saxton, M. Shanahan, Y. W. Teh, D. J. Rezende, and S. M. A. Eslami
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Neural processes
M. Garnelo, J. Schwarz, D. Rosenbaum, F. Viola, D. J. Rezende, S. M. A. Eslami, and Y. W. Teh
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Sequential neural processes
G. Singh, J. Yoon, Y. Son, and S. Ahn · 2019
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T. Willi, J. Masci, J. Schmidhuber, and C. Osendorfer · 2019
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Convolutional conditional neural processes
J. Gordon, W. P. Bruinsma, A. Y. K. Foong, J. Requeima, Y. Dubois, and R. E. Turner · 2020
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