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Contrastive learning, multi-view redundancy, and linear models.

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Contrastive Estimation Reveals Topic Posterior Information to Linear Models., , and . J. Mach. Learn. Res., (2021)The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 2993-3035. PMLR, (2019)Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends.. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 840-849. JMLR.org, (2016)Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard., and . J. Mach. Learn. Res., (2017)Interactive Structure Learning with Structural Query-by-Committee., and . NeurIPS, page 1129-1139. (2018)Contrastive learning, multi-view redundancy, and linear models., , and . ALT, volume 132 of Proceedings of Machine Learning Research, page 1179-1206. PMLR, (2021)Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1467-1475. JMLR.org, (2014)Diameter-Based Active Learning., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3444-3452. PMLR, (2017)Algorithms for Statistical and Interactive Learning Tasks.. University of California, San Diego, USA, (2018)base-search.net (ftcdlib:qt8f79641w).Diameter-based Interactive Structure Discovery., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 580-590. PMLR, (2020)