2 citations · 2 across the 7 of their papers we have counts for
7 papers
Error Bounds for Statistical Estimators in BTL Model with Parametric Multivariate Utility Functions
Yicheng Li, Huifu Xu
We study preference elicitation under the Bradley-Terry-Luce (BTL) model where the true partworth vector is unknown and has to be estimated as a parameter with elicited preference…
Risk-Averse Bayesian Games with an Unknown Type Distribution: Bayesian Learning, Equilibrium Analysis, and Finite-Sample Guarantees
Yuan Tao, Huifu Xu
Classical Bayesian games assume that the joint distribution of players' types is common knowledge, an assumption that rarely holds in practical applications. We address this issue…
Necessary Optimality Conditions for Integrated Learning and Optimization Problem in Contextual Optimization
Yuan Tao, Huifu Xu
Integrated learning and optimization (ILO) is a framework in contextual optimization which aims to train a predictive model for the probability distribution of the underlying probl…
Quantification of Errors of the Performance Estimators in the Linear-Quantized Precoding Models for Massive MIMO Systems
Jie Zhang, Huifu Xu
Massive MIMO (Multiple-Input Multiple-Output) is a key enabler for 5G and future wireless systems, boosting channel capacity, energy efficiency, and spectral efficiency. However, h…
Existence and Uniqueness Theorem of Continuous and Monotone Bayesian Nash Equilibrium and Stability Analysis
Ziheng Su, Huifu Xu
Since the seminal work by Meirowitz, there has been growing attention on the existence and uniqueness of continuous Bayesian Nash equilibria. In the existing literature, existence…
Risk-averse Decision Making with Contextual Information: Model, Sample Average Approximation, and Kernelization
Yuan Tao, Erick Delage, Huifu Xu
We consider risk-averse contextual optimization problems where the decision maker (DM) faces two types of uncertainties: problem data uncertainty (PDU) and contextual uncertainty (…
Generalized Bayesian Nash Equilibrium with Continuous Type and Action Spaces
Yuan Tao, Huifu Xu
Bayesian game is a strategic decision-making model where each player's type parameter characterizing its own objective is private information: each player knows its own type but no…