2025 Spotlight "stochastic optimization" Papers
4 papers found
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