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Active learning and basis selection for kernel-based linear models: a Bayesian perspective., , and . IEEE Trans. Signal Process., 58 (5): 2686-2700 (2010)Lightweight Pyramid Networks for Image Deraining., , , , and . CoRR, (2018)Variational Bayesian Inference with Stochastic Search., , and . ICML, icml.cc / Omnipress, (2012)Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network., , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 492-504. Springer, (2019)Global Explanations of Neural Networks: Mapping the Landscape of Predictions., , , and . AIES, page 279-287. ACM, (2019)Markov Latent Feature Models., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1129-1137. JMLR.org, (2016)Asymptotic Simulated Annealing for Variational Inference., , and . GLOBECOM, page 1-7. IEEE, (2018)A Deep Tree-Structured Fusion Model for Single Image Deraining., , , , , and . CoRR, (2018)TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency., , , and . ICLR (Poster), OpenReview.net, (2017)Stochastic Variational Inference for the HDP-HMM., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 800-808. JMLR.org, (2016)