Marina Danilova

12 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise.
J. Optim. Theory Appl.
Eduard Gorbunov, Marina Danilova, Innokentiy Shibaev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2024 A* conf
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.
ICML
Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023 A* conf
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance.
ICML
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023 J jnl
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance.
CoRR
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023 J jnl
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.
CoRR
Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2022 A* conf
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise.
NeurIPS
Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel
2022 J jnl
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise.
CoRR
Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechensky, Alexander V. Gasnikov, Gauthier Gidel
2022 J jnl
Distributed Methods with Absolute Compression and Error Compensation.
CoRR
Marina Danilova, Eduard Gorbunov
2021 J jnl
Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise.
CoRR
Eduard Gorbunov, Marina Danilova, Innokentiy Shibaev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2020 J jnl
Recent Theoretical Advances in Non-Convex Optimization.
CoRR
Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev
2020 A* conf
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping.
NeurIPS
Eduard Gorbunov, Marina Danilova, Alexander V. Gasnikov
2020 J jnl
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping.
CoRR
Eduard Gorbunov, Marina Danilova, Alexander V. Gasnikov