Xin Qiu
  • About
  • Publications
  • Past
  • Recent & Upcoming Talks
    • Example Talk
  • Publications
    • Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
    • Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
    • Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
    • Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings)
    • Evaluating medical aesthetics treatments through evolved age-estimation models
    • From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic
    • Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization
    • Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
    • Effective reinforcement learning through evolutionary surrogate-assisted prescription
    • Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
    • Evolution is the new deep learning
    • A New Differential Evolution Algorithm for Minimax Optimization in Robust Design
    • Multiple Exponential Recombination for Differential Evolution
    • Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization
    • An opposition-based self-adaptive differential evolution with decomposition for solving the multiobjective multiple salesman problem
    • Enhancing exploration in differential evolution via exponential recombination
    • A New Framework for Self-adapting Control Parameters in Multi-objective Optimization
    • A Novel Multi-objective Optimization Framework Combining NSGA-II and MOEA/D
    • A novel Differential Evolution (DE) algorithm for multi-objective optimization
    • A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space
    • A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization
    • Dynamic Multiobjective Optimization Using Evolutionary Algorithm with Kalman Filter
    • Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition
  • Projects
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms

Jul 1, 2019·
Xin Qiu
Xin Qiu
,
Risto Miikkulainen
· 0 min read
Cite DOI URL
Type
Conference paper
Publication
Proceedings of the AAAI Conference on Artificial Intelligence
Last updated on Jul 1, 2019
Xin Qiu
Authors
Xin Qiu
Researcher / Director
← Effective reinforcement learning through evolutionary surrogate-assisted prescription Jan 1, 2020
Evolution is the new deep learning Jun 1, 2018 →

© 2025 Xin Qiu. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.