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Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations.

, , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1837-1845. PMLR, (2021)

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Maurizio Podda

Maurizio Venturini

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Maurizio Podda

 

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Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis., , , , и . CMSB, том 4210 из Lecture Notes in Computer Science, стр. 312-322. Springer, (2006)Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes., , , и . IEEE Trans. Affect. Comput., 5 (2): 187-200 (2014)Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD., , , и . CoRR, (2019)Entropic Trace Estimates for Log Determinants., , , , , и . ECML/PKDD (1), том 10534 из Lecture Notes in Computer Science, стр. 323-338. Springer, (2017)Random Feature Expansions for Deep Gaussian Processes., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 884-893. PMLR, (2017)Walsh-Hadamard Variational Inference for Bayesian Deep Learning., , и . CoRR, (2019)Exact gaussian process regression with distributed computations., , и . SAC, стр. 1286-1295. ACM, (2019)Membership Embedding Space Approach and Spectral Clustering., , и . KES (3), том 4694 из Lecture Notes in Computer Science, стр. 901-908. Springer, (2007)A comparative evaluation of outlier detection algorithms: Experiments and analyses., , , и . Pattern Recognit., (2018)Calibrating Deep Convolutional Gaussian Processes., , , , и . CoRR, (2018)