• Home
  • About
  • A Brief History of AI
  • AI-Alerts
  • AI Magazine
  • AAAI Conferences
  • NeurIPS
  • Books
  • Classics

PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits

Bianca Dumitrascu, Karen Feng, Barbara Engelhardt

Nov-20-2025, 20:09:07 GMT–Neural Information Processing Systems 

A contextual bandit is an online learning framework for modeling sequential decision-making problems.

  artificial intelligence, data mining, machine learning, (18 more...)

Neural Information Processing Systems

Nov-20-2025, 20:09:07 GMT

Conferences    PDF

Add feedback

  • Country:
    • North America
      • Canada > Quebec
        • Montreal (0.04)
      • United States > New Jersey
        • Mercer County > Princeton (0.04)
  • Genre:
    • Research Report (0.70)
  • Industry:
    • Education (0.34)
    • Health & Medicine (0.47)
  • Technology:
    • Information Technology
      • Artificial Intelligence
        • Machine Learning
          • Learning Graphical Models > Directed Networks
            • Bayesian Learning (0.68)
          • Statistical Learning (1.00)
        • Representation & Reasoning > Uncertainty
          • Bayesian Inference (0.94)
      • Data Science > Data Mining (1.00)

  • By text
  • By views
  • By concept tags

Duplicate Docs Excel Report

Title
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits

Similar Docs  Excel Report  more

TitleSimilaritySource
None found

Site Feedback

© 2026, i2k Connect Inc  ·  All Rights Reserved.
Privacy policy  ·  Terms of use  ·  License  ·  Legal Notices
This is i2kweb version 7.1.0-SNAPSHOT. Logged in as aitopics-guest for 60 more minutes (idle timeout).

Site Feedback

powered by
i2k Connect

aitopics.org uses cookies to deliver the best possible experience. By continuing to use this site, you consent to the use of cookies. Learn more ยป

Add feedback

Send feedback to help us improve this new enhanced search experience.

Thank You!