Co-occurring keywords · papers mentioning both
Papers
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2026
Derivatives of Stochastic Gradient Descent in parametric optimization
NeurIPS 2024
Decomposable Submodular Function Minimization via Maximum Flow
ICML 2021
Differentiating the Value Function by using Convex Duality
AISTATS 2021
Generalized parametric path problems
UAI 2021
Automatic Differentiation of Some First-Order Methods in Parametric Optimization
AISTATS 2020
Learning Composable Energy Surrogates for PDE Order Reduction
NeurIPS 2020
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection
CVPR 2018
Methods for off-line/on-line optimization under uncertainty
IJCAI 2018
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
NeurIPS 2016
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
NeurIPS 2012