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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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