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Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums


Feb 26, 2021
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas

* 32 pages, 18 figures 

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Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities


Feb 26, 2021
Chaobing Song, Jelena Diakonikolas

* 18 pages, 6 figures 

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Parameter-free Locally Accelerated Conditional Gradients


Feb 12, 2021
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta


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Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization


Jan 28, 2021
Jelena Diakonikolas, Puqian Wang


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Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems


Jan 26, 2021
Jelena Diakonikolas, Crist贸bal Guzm谩n


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Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization


Oct 31, 2020
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan


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Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities


Mar 06, 2020
Jelena Diakonikolas

* 23 pages; v1->v2: added acknowledgements and some more related work 

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Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View


Jul 16, 2019
Jelena Diakonikolas, Lorenzo Orecchia

* 8 pages. v1 -> v2: corrected reference to the paper with Nemirovski acceleration with line search 

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Locally Accelerated Conditional Gradients


Jun 19, 2019
Alejandro Carderera, Jelena Diakonikolas, Sebastian Pokutta


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Generalized Momentum-Based Methods: A Hamiltonian Perspective


Jun 02, 2019
Jelena Diakonikolas, Michael I. Jordan

* 30 pages, 2 figures 

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Langevin Monte Carlo without Smoothness


May 30, 2019
Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett


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Lower Bounds for Parallel and Randomized Convex Optimization


Nov 05, 2018
Jelena Diakonikolas, Crist贸bal Guzm谩n


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