Efficiency of the Accelerated Coordinate Descent Method on Structured Optimization Problems von Nesterov, Yurii, Stich, Sebastian U.

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On Two Continuum Armed Bandit Problems in High Dimensions von Tyagi, Hemant, Stich, Sebastian U., Gärtner, Bernd

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On Low Complexity Acceleration Techniques for Randomized Optimization von Stich, Sebastian Urban

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On Two Problems Regarding the Hamiltonian Cycle Game von Hefetz, Dan, Stich, Sebastian

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On the existence of ordinary triangles von Fulek, Radoslav, Mojarrad, Hossein Nassajian, Naszódi, Márton, Solymosi, József, Stich, Sebastian U., Szedlák, May

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Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction von Jiang, Xiaowen, Stich, Sebastian U

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Stabilized Proximal-Point Methods for Federated Optimization von Jiang, Xiaowen, Rodomanov, Anton, Stich, Sebastian U

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Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction von Rodomanov, Anton, Jiang, Xiaowen, Stich, Sebastian

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Towards Faster Decentralized Stochastic Optimization with Communication Compression von Islamov, Rustem, Gao, Yuan, Stich, Sebastian U

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Federated Optimization with Doubly Regularized Drift Correction von Jiang, Xiaowen, Rodomanov, Anton, Stich, Sebastian U

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Non-convex Stochastic Composite Optimization with Polyak Momentum von Gao, Yuan, Rodomanov, Anton, Stich, Sebastian U

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Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions von Doikov, Nikita, Stich, Sebastian U, Jaggi, Martin

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EControl: Fast Distributed Optimization with Compression and Error Control von Gao, Yuan, Islamov, Rustem, Stich, Sebastian

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On Communication Compression for Distributed Optimization on Heterogeneous Data von Stich, Sebastian U

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Tackling benign nonconvexity with smoothing and stochastic gradients von Vardhan, Harsh, Stich, Sebastian U

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Locally Adaptive Federated Learning von Mukherjee, Sohom, Loizou, Nicolas, Stich, Sebastian U

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Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees von Koloskova, Anastasia, Hendrikx, Hadrien, Stich, Sebastian U

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Unified Optimal Analysis of the (Stochastic) Gradient Method von Stich, Sebastian U

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Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning von Koloskova, Anastasia, Stich, Sebastian U, Jaggi, Martin

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Special Properties of Gradient Descent with Large Learning Rates von Mohtashami, Amirkeivan, Jaggi, Martin, Stich, Sebastian

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