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Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.

, , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 14333-14352. PMLR, (2023)

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Maximizing the Margin with Boosting., and . COLT, volume 2375 of Lecture Notes in Computer Science, page 334-350. Springer, (2002)Graph Based Semi-supervised Learning with Sharper Edges., , and . ECML, volume 4212 of Lecture Notes in Computer Science, page 401-412. Springer, (2006)Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations, , , , , , and . (2018)cite arxiv:1811.12359Comment: This is a preliminary preprint.Robustes Boosting durch konvexe Optimierung.. Ausgezeichnete Informatikdissertationen, volume D-2 of LNI, GI, (2001)Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions., , , and . CoRR, (2023)Boosting Variational Inference: an Optimization Perspective., , , and . CoRR, (2017)A Commentary on the Unsupervised Learning of Disentangled Representations., , , , , , and . AAAI, page 13681-13684. AAAI Press, (2020)A Generative Model of Words and Relationships from Multiple Sources., , and . AAAI, page 2622-2629. AAAI Press, (2016)Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations., , , , and . NeurIPS, (2022)KIRMES: Kernel-based Identification of Regulatory Modules in Euchromatic Sequences., , , , and . German Conference on Bioinformatics, volume P-136 of LNI, page 158-167. GI, (2008)