Peter Richt'arik
发表
Aritra Dutta,
Atal Narayan Sahu,
Aashutosh Tiwari,
2020,
Linear Algebra and its Applications.
Konstantin Mishchenko,
Peter Richt'arik,
Ahmed Khaled,
2020,
NeurIPS.
Filip Hanzely,
Peter Richt'arik,
2020,
ArXiv.
Dmitry Kovalev,
Robert M. Gower,
Alexander Rogozin,
2020,
ArXiv.
Laurent Condat,
Peter Richt'arik,
Grigory Malinovsky,
2020,
Frontiers in Signal Processing.
Aleksandr Beznosikov,
Peter Richt'arik,
Samuel Horv'ath,
2020,
ArXiv.
Konstantin Mishchenko,
Peter Richt'arik,
Ahmed Khaled,
2020,
AISTATS.
Peter Richt'arik,
Samuel Horv'ath,
Peter Richtárik,
2020,
ICLR.
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor
pdf
Peter Richt'arik,
Mher Safaryan,
Egor Shulgin,
2020,
ArXiv.
Dmitry Kovalev,
Konstantin Mishchenko,
Peter Richt'arik,
2019,
ArXiv.
Peter Richt'arik,
Ahmed Khaled,
Peter Richtárik,
2020,
Trans. Mach. Learn. Res..
Michael I. Jordan,
Lihua Lei,
Peter Richt'arik,
2020,
SIAM J. Math. Data Sci..
Eduard A. Gorbunov,
Filip Hanzely,
Peter Richt'arik,
2020,
AISTATS.
Filip Hanzely,
Peter Richt'arik,
Samuel Horv'ath,
2020,
NeurIPS.
Tong Zhang,
Xun Qian,
Peter Richt'arik,
2020,
NeurIPS.
Adil Salim,
Peter Richt'arik,
Peter Richtárik,
2020,
NeurIPS.
Zhize Li,
Xun Qian,
Dmitry Kovalev,
2020,
ICML.
Xiangliang Zhang,
Zhize Li,
Hongyan Bao,
2020,
ArXiv.
Robert M. Gower,
Othmane Sebbouh,
Nicolas Loizou,
2020,
Journal of Optimization Theory and Applications.
Eduard A. Gorbunov,
Peter Richt'arik,
Dmitry Kovalev,
2020,
NeurIPS.
Zhize Li,
Peter Richt'arik,
Peter Richtárik,
2020,
ArXiv.
Laurent Condat,
Peter Richt'arik,
Mher Safaryan,
2020,
ArXiv.
Yurii Nesterov,
Filip Hanzely,
Peter Richt'arik,
2020,
ICML.
Dmitry Kovalev,
Adil Salim,
Martin Tak'avc,
2019,
ArXiv.
Dmitry Kovalev,
Adil Salim,
Peter Richt'arik,
2020,
NeurIPS.
Xiangliang Zhang,
Peter Richt'arik,
Zhize Li,
2020,
ICML.
Albert S. Berahas,
Majid Jahani,
Martin Tak'avc,
2019,
Optim. Methods Softw..
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
pdf
Alexander Gasnikov,
Peter Richt'arik,
Elnur Gasanov,
2021,
NeurIPS.
Peter Richt'arik,
Zhize Li,
Haoyu Zhao,
2021,
ArXiv.
Aaron Klein,
C'edric Archambeau,
Peter Richt'arik,
2021,
AISTATS.
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
pdf
Alexander Gasnikov,
Aleksandr Beznosikov,
Peter Richt'arik,
2021,
ArXiv.
Laurent Condat,
Peter Richt'arik,
2021,
ArXiv.
Konstantin Mishchenko,
Peter Richt'arik,
Ahmed Khaled,
2021,
ICML.
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
pdf
Alexander Gasnikov,
Peter Richt'arik,
Dmitry Kovalev,
2021,
ArXiv.
Konstantin Mishchenko,
Bokun Wang,
Dmitry Kovalev,
2021,
ArXiv.
Xun Qian,
Peter Richt'arik,
Hanze Dong,
2021
.
Laurent Condat,
Adil Salim,
Dmitry Kovalev,
2021
.
Laurent Condat,
Peter Richt'arik,
Grigory Malinovsky,
2020,
Frontiers in Signal Processing.
Eduard A. Gorbunov,
Peter Richt'arik,
Eduard Gorbunov,
2021,
ArXiv.
Peter Richt'arik,
Mher Safaryan,
Peter Richtárik,
2019,
ICML.
Peter Richt'arik,
Ilyas Fatkhullin,
Igor Sokolov,
2021,
NeurIPS.
Eduard A. Gorbunov,
Peter Richt'arik,
Eduard Gorbunov,
2021,
ICML.
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
pdf
Filip Hanzely,
Peter Richt'arik,
Mher Safaryan,
2021,
NeurIPS.
Alexander Gasnikov,
Dmitry Kovalev,
Peter Richt'arik,
2021,
ICML.
Peter Richt'arik,
Mher Safaryan,
Bokun Wang,
2021,
ArXiv.
Peter Richt'arik,
Grigory Malinovsky,
Alibek Sailanbayev,
2021,
UAI.
Adil Salim,
Peter Richt'arik,
Lukang Sun,
2021,
ArXiv.
Michael W. Mahoney,
Majid Jahani,
Martin Tak'avc,
2021,
ICLR.
Peter Richt'arik,
Zhize Li,
Peter Richtárik,
2021,
NeurIPS.
Alexander Tyurin,
Peter Richt'arik,
Rafal Szlendak,
2021,
ArXiv.
Peter Richt'arik,
Zhize Li,
Peter Richtárik,
2021,
ArXiv.
Xun Qian,
Peter Richt'arik,
Mher Safaryan,
2021,
ArXiv.
Dmitry Kovalev,
Adil Salim,
Peter Richt'arik,
2020,
NeurIPS.
Xun Qian,
Dmitry Kovalev,
Peter Richt'arik,
2020,
ICML.