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Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
27 February 2022
I Zaghloul Amir
Roi Livni
Nathan Srebro
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Papers citing
"Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization"
7 / 7 papers shown
Title
Understanding the Generalization Error of Markov algorithms through Poissonization
Benjamin Dupuis
Maxime Haddouche
George Deligiannidis
Umut Simsekli
39
0
0
11 Feb 2025
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
A. Banerjee
Qiaobo Li
Yingxue Zhou
29
0
0
11 Jun 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
32
2
0
26 Apr 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
Roi Livni
MLT
29
0
0
07 Apr 2024
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
19
4
0
03 May 2023
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
Siqi Zhang
Yifan Hu
Liang Zhang
Niao He
14
3
0
28 May 2022
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Satyen Kale
Ayush Sekhari
Karthik Sridharan
173
28
0
11 Jul 2021
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