Marina Danilova

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Complexity Bounds

Stochastic Optimization

Top Venues

Publications

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