Amit Attia

According to our database1, Amit Attia authored at least 10 papers between 2021 and 2025.

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Bibliography

2025
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime.
CoRR, July, 2025

Optimal Rates in Continual Linear Regression via Increasing Regularization.
CoRR, June, 2025

Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization.
CoRR, March, 2025

2024
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching.
CoRR, 2024

A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails.
CoRR, 2024

How Free is Parameter-Free Stochastic Optimization?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance.
Proceedings of the International Conference on Machine Learning, 2023

2022
Uniform Stability for First-Order Empirical Risk Minimization.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
The Instability of Accelerated Gradient Descent.
CoRR, 2021

Algorithmic Instabilities of Accelerated Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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