Marina Danilova

Orcid: 0000-0002-2063-3353

According to our database1, Marina Danilova authored at least 7 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance.
Proceedings of the International Conference on Machine Learning, 2023

2022
Distributed Methods with Absolute Compression and Error Compensation.
CoRR, 2022

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise.
CoRR, 2021

2020
Recent Theoretical Advances in Non-Convex Optimization.
CoRR, 2020

Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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