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A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks.

, , and . NIPS, page 4486-4495. (2017)

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Time-evolving modeling of social networks., , , and . ICASSP, page 2184-2187. IEEE, (2011)Information-Theoretic Compressive Measurement Design., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (6): 1150-1164 (2017)Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning., , and . IEEE Trans. Pattern Anal. Mach. Intell., 28 (4): 522-532 (2006)Texture analysis with variational hidden Markov trees., and . IEEE Trans. Signal Process., 54 (6-1): 2353-2356 (2006)Active learning and basis selection for kernel-based linear models: a Bayesian perspective., , and . IEEE Trans. Signal Process., 58 (5): 2686-2700 (2010)Probabilistic Topic Models., , and . IEEE Signal Process. Mag., 27 (6): 55-65 (2010)Scalable Thompson Sampling via Optimal Transport., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 87-96. PMLR, (2019)Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models., and . JCIS, page 354-357. JCIS / Association for Intelligent Machinery, Inc., (2002)Multi-task compressive sensing with Dirichlet process priors., , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 768-775. ACM, (2008)Active learning for online bayesian matrix factorization., and . KDD, page 325-333. ACM, (2012)