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Separating Sparse Signals from Correlated Noise in Binary Classification.

, , , , and . CFA@UAI, volume 1792 of CEUR Workshop Proceedings, page 48-58. CEUR-WS.org, (2016)

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Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation., , , , and . AAAI, page 5417-5424. AAAI Press, (2019)Scalable Inference in Latent Gaussian Process Models.. Humboldt University of Berlin, Germany, (2020)Group Preferences in Social Network Services., and . Grundlagen von Datenbanken, volume 581 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Evaluating the Fairness of Discriminative Foundation Models in Computer Vision., , , , , and . AIES, page 809-833. ACM, (2023)A Database Approach to Dynamic Group Formation, and . page 85-90. (2010)Image retrieval outperforms diffusion models on data augmentation., , , , , , and . Trans. Mach. Learn. Res., (2023)How Good is the Bayes Posterior in Deep Neural Networks Really?, , , , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10248-10259. PMLR, (2020)Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3025-3035. PMLR, (2020)On the Challenges and Opportunities in Generative AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Aggregation and Analysis of Enriched Spatial User Models from Location-Based Social Networks., and . GeoRich@SIGMOD, page 8:1-8:6. ACM, (2014)