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Factorisation and denoising of 0-1 data: A variational approach.

, and . Neurocomputing, 71 (10-12): 2291-2308 (2008)

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Optimistic bounds for multi-output prediction., and . CoRR, (2020)New Bounds on Compressive Linear Least Squares Regression.. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 448-456. JMLR.org, (2014)Compressed fisher linear discriminant analysis: classification of randomly projected data., and . KDD, page 1119-1128. ACM, (2010)Model-Based Estimation of Word Saliency in Text., and . Discovery Science, volume 4265 of Lecture Notes in Computer Science, page 279-290. Springer, (2006)Tighter Guarantees for the Compressive Multi-layer Perceptron., and . TPNC, volume 11324 of Lecture Notes in Computer Science, page 388-400. Springer, (2018)PAC-learning with approximate predictors., and . Mach. Learn., 112 (5): 1693-1732 (May 2023)Statistical optimality conditions for compressive ensembles., and . CoRR, (2021)Optimistic Bounds for Multi-output Learning., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8030-8040. PMLR, (2020)Self-certified Tuple-Wise Deep Learning., , and . ECML/PKDD (2), volume 14942 of Lecture Notes in Computer Science, page 303-320. Springer, (2024)Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF., and . ICPRAM (1), page 123-133. SciTePress, (2012)