Felix Dangel
According to our database1,
Felix Dangel
authored at least 17 papers
between 2019 and 2024.
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Bibliography
2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Trans. Mach. Learn. Res., 2023
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A Modular Approach to Block-diagonal Hessian Approximations for Second-order Optimization Methods.
CoRR, 2019