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Geometry-Aware Universal Mirror-Prox

Nov 23, 2020
Reza Babanezhad, Simon Lacoste-Julien


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To Each Optimizer a Norm, To Each Norm its Generalization

Jun 11, 2020
Sharan Vaswani, Reza Babanezhad, Jose Gallego, Aaron Mishkin, Simon Lacoste-Julien, Nicolas Le Roux


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Reducing the variance in online optimization by transporting past gradients

Jun 18, 2019
Sébastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas, Nicolas Le Roux

* Open-source implementation available at: https://github.com/seba-1511/igt.pth 

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Manifold Preserving Adversarial Learning

Mar 14, 2019
Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad


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M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning

Jul 06, 2018
Issam Laradji, Reza Babanezhad


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Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions

Aug 12, 2016
Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama

* Published in UAI 2016. We have made the following change in this revision: instead of expressing convergence rate results in terms of the iterate difference, we state them in terms of the iterate distance divided by the step-size (a measure of first-order optimality). We also removed some claims about the performance with a fixed step size 

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Stop Wasting My Gradients: Practical SVRG

Nov 05, 2015
Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konečný, Scott Sallinen


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Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields

Apr 16, 2015
Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar

* AI/Stats 2015, 24 pages 

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