Co-occurring keywords · papers mentioning both
Papers
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026
Empirical Likelihood for Fair Classification
ICLR 2024
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Optimal Training of Fair Predictive Models
CLeaR 2022
Empirical Likelihood for Contextual Bandits
NeurIPS 2020
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
NeurIPS 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
AAAI 2019
Variance-based Regularization with Convex Objectives
JMLR 2019
Variance-based Regularization with Convex Objectives
NeurIPS 2017