Convergence Rates of Active Learning for Maximum Likelihood Estimation

Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli, Sujay Sanghavi

Oct-2-2025, 13:46:27 GMT–Neural Information Processing Systems

Neural Information Processing Systems http://nips.cc/

artificial intelligence, bayesian inference, machine learning, (14 more...)

Neural Information Processing Systems

Oct-2-2025, 13:46:27 GMT

Conferences PDF

Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > United States
  - California > San Diego County
    - San Diego (0.04)
  - Georgia > Fulton County
    - Atlanta (0.04)
  - Nevada (0.04)
  - Texas > Travis County
    - Austin (0.04)

Genre:
- Research Report (0.31)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.89)
    - Statistical Learning (0.70)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.89)

Duplicate Docs Excel Report

Title
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Convergence Rates of Active Learning for Maximum Likelihood Estimation Sham M. Kakade
Convergence Rates of Active Learning for Maximum Likelihood Estimation

Similar Docs Excel Report more

Title	Similarity	Source
None found