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Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets., , , , , , and . CoRR, (2023)Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective., , , , , and . CoRR, (2024)Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks., , and . NeurIPS, (2022)Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures., , , , and . CoRR, (2023)Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization., , , and . CoRR, (2023)Benchmarking Neural Network Training Algorithms., , , , , , , , , and 15 other author(s). CoRR, (2023)Continual Deep Learning by Functional Regularisation of Memorable Past., , , , , and . NeurIPS, (2020)Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs., , , , and . CoRR, (2022)Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning., , , and . CoRR, (2021)Practical Deep Learning with Bayesian Principles., , , , , , and . NeurIPS, page 4289-4301. (2019)