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A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

B. Neal, S. Mittal, A. Baratin, V. Tantia, M. Scicluna, S. Lacoste-Julien, and I. Mitliagkas. CoRR, (2018)

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Ioannis Tzamichas

Ioannis Filippis

Ioannis Gavriel

Ioannis Efthimiadis

Ioannis Vardoulakis

Other publications of authors with the same name

Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity.N. Loizou, H. Berard, G. Gidel, I. Mitliagkas, and S. Lacoste-Julien. NeurIPS, page 19095-19108. (2021)Gotta Go Fast When Generating Data with Score-Based Models.A. Jolicoeur-Martineau, K. Li, R. Piché-Taillefer, T. Kachman, and I. Mitliagkas. CoRR, (2021)Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANsA. Jolicoeur-Martineau, and I. Mitliagkas. (2019)cite arxiv:1910.06922Comment: Code at https://github.com/AlexiaJM/MaximumMarginGANs.Improving Gibbs Sampler Scan Quality with DoGS.I. Mitliagkas, and L. Mackey. ICML, volume 70 of Proceedings of Machine Learning Research, page 2469-2477. PMLR, (2017)A Modern Take on the Bias-Variance Tradeoff in Neural Networks.B. Neal, S. Mittal, A. Baratin, V. Tantia, M. Scicluna, S. Lacoste-Julien, and I. Mitliagkas. CoRR, (2018)Accelerated Stochastic Power Iteration.P. Xu, B. He, C. Sa, I. Mitliagkas, and C. Ré. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 58-67. PMLR, (2018)h-detach: Modifying the LSTM Gradient Towards Better Optimization.B. Kanuparthi, D. Arpit, G. Kerg, N. Ke, I. Mitliagkas, and Y. Bengio. ICLR (Poster), OpenReview.net, (2019)A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.W. Azizian, I. Mitliagkas, S. Lacoste-Julien, and G. Gidel. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2863-2873. PMLR, (2020)Neural Networks Efficiently Learn Low-Dimensional Representations with SGD.A. Hosseini, S. Park, M. Girotti, I. Mitliagkas, and M. Erdogdu. CoRR, (2022)A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.S. Sokota, R. D'Orazio, J. Kolter, N. Loizou, M. Lanctot, I. Mitliagkas, N. Brown, and C. Kroer. ICLR, OpenReview.net, (2023)

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Disambiguation of "Mitliagkas, Ioannis"

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A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

Please choose a person to relate this publication to

Ioannis Tzamichas

Ioannis Filippis

Ioannis Gavriel

Ioannis Efthimiadis

Ioannis Vardoulakis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mitliagkas, Ioannis"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

Please choose a person to relate this publication to

Ioannis Tzamichas

Ioannis Filippis

Ioannis Gavriel

Ioannis Efthimiadis

Ioannis Vardoulakis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Modern Take on the Bias-Variance Tradeoff in Neural Networks.