Co-occurring keywords · papers mentioning both
Papers
Analysis of Kernel Mirror Prox for Measure Optimization
AISTATS 2024
Functional Bilevel Optimization for Machine Learning
NeurIPS 2024
Certifiable Out-of-Distribution Generalization
AAAI 2023
Nonparametric Iterative Machine Teaching
ICML 2023
Variational Wasserstein gradient flow
ICML 2022
Gradient-Based Algorithms for Machine Teaching
CVPR 2021
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
NeurIPS 2020
Sinkhorn Barycenter via Functional Gradient Descent
NeurIPS 2020
Bayesian Functional Optimisation with Shape Prior
AAAI 2019
Correspondence Analysis Using Neural Networks
AISTATS 2019
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space
ACML 2017