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발행년	- (예 : 2010-2015)

NOISE IS NOT THE MAIN FACTOR BEHIND THE GAP BETWEEN SGD AND ADAM ON TRANSFORMERS, BUT SIGN DESCENT MIGHT BE

Conference

Kunstner, F.; Chen, J.; Lavington, J.W.; Schmidt, M.

In: 11th International Conference on Learning Representations, ICLR 2023, 11th International Conference on Learning Representations, ICLR 2023. (11th International Conference on Learning Representations, ICLR 2023, 2023)

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Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking

Conference

Kunstner, F.; Portella, V.S.; Harvey, N.; Schmidt, M.

In: Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. (Advances in Neural Information Processing Systems, 2023, 36)

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Homeomorphic-Invariance of EM: Non-Asymptotic Convergence KL Divergence for Exponential Families via Mirror Descent (Extended Abstract)

Conference

Kunstner, F.; Schmidt, M.; Kumar, R.

In: IJCAI International Joint Conference on Artificial Intelligence, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. (IJCAI International Joint Conference on Artificial Intelligence, 2022, :5294-5298)

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Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent

Conference

Kunstner, F.; Schmidt, M.; Kumar, R.

In: Proceedings of Machine Learning Research, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021. (Proceedings of Machine Learning Research, 2021, 130:3295-3303)

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BACKPACK: PACKING MORE INTO BACKPROP

Conference

Dangel, F.; Kunstner, F.; Hennig, P.

In: 8th International Conference on Learning Representations, ICLR 2020, 8th International Conference on Learning Representations, ICLR 2020. (8th International Conference on Learning Representations, ICLR 2020, 2020)

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Limitations of the empirical fisher approximation for natural gradient descent

Conference

Kunstner, F.; Balles, L.; Hennig, P.

In: Advances in Neural Information Processing Systems, 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019. (Advances in Neural Information Processing Systems, 2019, 32)

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SlanG: Fast structured covariance approximations for Bayesian deep learning with natural gradient

Conference

Mishkin, A.; Schmidt, M.; Nielsen, D.; Khan, M.E.; Kunstner, F.

In: Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 31 - Proceedings of the 2018 Conference. (Advances in Neural Information Processing Systems, 2018, 2018-December:6245-6255)

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Limitations of the empirical Fisher approximation

Kunstner, F.; Balles, L.; Hennig, P.

In: arXiv. (arXiv, 29 May 2019)

Scopus

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