Spotlight "stochastic optimization" Papers

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poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks

Heasung Kim, Taekyun Lee, Hyeji Kim et al.

NEURIPS 2025spotlight

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization

Da Chang, Ganzhao Yuan

NEURIPS 2025spotlight

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization

Shaocong Ma, Heng Huang

NEURIPS 2025spotlightarXiv:2510.19953
2
citations

Quantum speedup of non-linear Monte Carlo problems

Jose Blanchet, Yassine Hamoudi, Mario Szegedy et al.

NEURIPS 2025spotlightarXiv:2502.05094

How Free is Parameter-Free Stochastic Optimization?

Amit Attia, Tomer Koren

ICML 2024spotlightarXiv:2402.03126
11
citations

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

Daniel Dodd, Louis Sharrock, Chris Nemeth

ICML 2024spotlightarXiv:2406.02296
1
citations

Tuning-Free Stochastic Optimization

Ahmed Khaled, Chi Jin

ICML 2024spotlightarXiv:2402.07793
13
citations