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From Gradient Flow on Population Loss to Learning with Stochastic
Gradient Descent

From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent

Neural Information Processing Systems (NeurIPS), 2022

13 October 2022

Karthik Sridharan

ArXiv (abs)PDF HTML Github

Papers citing "From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent"

4 / 4 papers shown

Can Looped Transformers Learn to Implement Multi-step Gradient Descent
for In-context Learning?

Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?International Conference on Machine Learning (ICML), 2024

Khashayar Gatmiry

Sashank J. Reddi

Stefanie Jegelka

360

42

0

10 Oct 2024

Convergence of continuous-time stochastic gradient descent with applications to deep neural networks

Convergence of continuous-time stochastic gradient descent with applications to deep neural networks

Eulalia Nualart

364

3

0

11 Sep 2024

Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk
Minimization Framework

Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework

Sina Baharlouei

Meisam Razaviyayn

311

1

0

20 Sep 2023

Convergence of stochastic gradient descent under a local Lojasiewicz
condition for deep neural networks

Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks

340

6

0

18 Apr 2023

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