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Disambiguation of "Mitliagkas, Ioannis"

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State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.

, , , , , , , and . CoRR, (2019)

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Ioannis Tzamichas

Ioannis Filippis

Ioannis Gavriel

Ioannis Efthimiadis

Ioannis Vardoulakis

 

Other publications of authors with the same name

Improving Gibbs Sampler Scan Quality with DoGS., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2469-2477. PMLR, (2017)Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs, and . (2019)cite arxiv:1910.06922Comment: Code at https://github.com/AlexiaJM/MaximumMarginGANs.Gotta Go Fast When Generating Data with Score-Based Models., , , , and . CoRR, (2021)Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity., , , , and . NeurIPS, page 19095-19108. (2021)No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths., , , and . ICML, OpenReview.net, (2024)A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2863-2873. PMLR, (2020)Neural Networks Efficiently Learn Low-Dimensional Representations with SGD., , , , and . CoRR, (2022)A Study of Condition Numbers for First-Order Optimization., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1261-1269. PMLR, (2021)Linear Lower Bounds and Conditioning of Differentiable Games., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4583-4593. PMLR, (2020)A Modern Take on the Bias-Variance Tradeoff in Neural Networks., , , , , , and . CoRR, (2018)