Xiaowei Zhang
  • Bio
  • Publications
ESC

Searching...

No results found

↑↓ Navigate ↵ Select
Powered by Hugo Blox
  • Publications
    • AI Persuasion, Bayesian Attribution, and Career Concerns of Decision-Makers
    • Learning to Simulate: Generative Metamodeling via Quantile Regression
    • SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
    • Uncertainty-Adjusted Sorting for Asset Pricing with Machine Learning
    • Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
    • AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems
    • Staffing Under Taylor's Law: A Unifying Framework for Bridging Square-Root and Linear Safety Rules
    • ''Over-Optimizing'' for Normality: Budget-Constrained Uncertainty Quantification for Contextual Decision-Making
    • Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
    • Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market
    • Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
    • Seesaw Experimentation: A/B Tests with Spillovers
    • Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions
    • How Does Risk Hedging Impact Operations? Insights from a Price-Setting Newsvendor Model
    • Sample and Computationally Efficient Stochastic Kriging in High Dimensions
    • Dynamic Selection in Algorithmic Decision-making
    • Knowledge Gradient for Selection with Covariates: Consistency and Computation
    • Surrogate-Based Simulation Optimization
    • High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
    • Ranking and Selection with Covariates for Personalized Decision Making
    • Distributionally Robust Selection of the Best
    • A Scalable Approach to Enhancing Stochastic Kriging with Gradients
    • Data-Driven Ranking and Selection: High-dimensional Covariates and General Dependence
    • Affine Jump-Diffusions: Stochastic Stability and Limit Theorems
    • Enhancing Stochastic Kriging for Queueing Simulation with Stylized Models
    • Scalable Stochastic Kriging with Markovian Covariances
    • Stochastic Kriging for Inadequate Simulation Models
    • Ranking and Selection with Covariates
    • Sequential Sampling for Bayesian Robust Ranking and Selection
    • Simulation Metamodeling in the Presence of Model Inadequacy
    • Affine Point Processes: Approximation and Efficient Simulation
    • Scaling and Modeling of Call Center Arrivals
    • A Bayesian Approach for Modeling and Analysis of Call Center Arrivals
    • Robust Selection of the Best
    • A Regenerative Bootstrap Approach to Estimating the Initial Transient
    • On the Dynamics of a Finite Buffer Queue Conditioned on the Amount of Loss
    • Rare Event Simulation for a Generalized Hawkes Process
    • Efficient Suboptimal Rare-event Simulation
  • Blog
    • When Personalization Meets High Dimensions: How SPARKLE Learns What Works, Fast
  • Courses
    • Hugo Blox
      • Getting Started
      • Guide
        • Project Structure
        • Configuration
        • Formatting
          • Embed Media
          • Buttons
          • Callouts
          • Cards
          • Spoilers
          • Steps
      • Reference
        • Customization
        • Internationalization (i18n)
  • Projects
  • Slides
    • Example Talk: Recent Work
  • Experience
  • Recent & Upcoming Talks
    • Create Beautiful Presentations with Markdown
  • Hugo Blox
    • Getting Started
    • Guide
      • Project Structure
      • Configuration
      • Formatting
        • Embed Media
        • Buttons
        • Callouts
        • Cards
        • Spoilers
        • Steps
    • Reference
      • Customization
      • Internationalization (i18n)
Courses
Hugo Blox
Reference

Reference

This section covers reference docs.

docs

© 2026 HKUST. This work is licensed under CC BY NC ND 4.0

Made with Hugo Blox — Open Source. Build yours →