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Multi-task compressive sensing with Dirichlet process priors., , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 768-775. ACM, (2008)Bayesian Logistic Gaussian Process Models for Dynamic Networks., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 194-201. JMLR.org, (2014)No penalty no tears: Least squares in high-dimensional linear models., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1814-1822. JMLR.org, (2016)Bayesian learning of joint distributions of objects., , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 1-9. JMLR.org, (2013)Analysis of space-time relational data with application to legislative voting., , and . Comput. Stat. Data Anal., (2013)Probabilistic Topic Models., , and . IEEE Signal Process. Mag., 27 (6): 55-65 (2010)Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds., , , and . CoRR, (2020)Bayesian data analysis, , , , , and . Chapman & Hall/CRC Texts in Statistical Science Series CRC, Boca Raton, Florida, Third edition, (2013)Locally Convex Kernel Mixtures: Bayesian Subspace Learning., , and . ICMLA, page 272-275. IEEE, (2019)Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach., and . RecSys, page 317-320. ACM, (2015)