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Subspace Inference for Bayesian Deep Learning.

, , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1169-1179. AUAI Press, (2019)

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Conditioning Sparse Variational Gaussian Processes for Online Decision-making., , and . NeurIPS, page 6365-6379. (2021)Similarity of Neural Networks with Gradients., , , , and . CoRR, (2020)Subspace Inference for Bayesian Deep Learning., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1169-1179. AUAI Press, (2019)On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification., , , and . NeurIPS, (2022)Low-precision arithmetic for fast Gaussian processes., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1306-1316. PMLR, (2022)Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited., , and . CoRR, (2020)A Simple Baseline for Bayesian Uncertainty in Deep Learning., , , , and . NeurIPS, page 13132-13143. (2019)Bayesian Optimization with High-Dimensional Outputs., , , and . NeurIPS, page 19274-19287. (2021)Function-Space Distributions over Kernels., , , , and . NeurIPS, page 14939-14950. (2019)Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 769-779. PMLR, (2021)