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Amit Attia

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2024
[c4]
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Amit Attia, Tomer Koren:
How Free is Parameter-Free Stochastic Optimization? ICML 2024
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  - journals/corr/abs-2402-03126
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Amit Attia, Tomer Koren:
How Free is Parameter-Free Stochastic Optimization? CoRR abs/2402.03126 (2024)
[i5]
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  - journals/corr/abs-2403-02873
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Amit Attia, Tomer Koren:
A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails. CoRR abs/2403.02873 (2024)
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  - journals/corr/abs-2408-07503
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Amit Attia, Ofir Gaash, Tomer Koren:
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching. CoRR abs/2408.07503 (2024)
2023
[c3]
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Amit Attia, Tomer Koren:
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance. ICML 2023: 1147-1171
[i3]
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  - journals/corr/abs-2302-08783
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Amit Attia, Tomer Koren:
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance. CoRR abs/2302.08783 (2023)
2022
[c2]
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  - conf/colt/AttiaK22
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Amit Attia, Tomer Koren:
Uniform Stability for First-Order Empirical Risk Minimization. COLT 2022: 3313-3332
[i2]
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  - journals/corr/abs-2207-08257
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Amit Attia, Tomer Koren:
Uniform Stability for First-Order Empirical Risk Minimization. CoRR abs/2207.08257 (2022)
2021
[c1]
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Amit Attia, Tomer Koren:
Algorithmic Instabilities of Accelerated Gradient Descent. NeurIPS 2021: 1204-1214
[i1]
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  - journals/corr/abs-2102-02167
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Amit Attia, Tomer Koren:
The Instability of Accelerated Gradient Descent. CoRR abs/2102.02167 (2021)

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