Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel

Dec-27-2025, 18:33:10 GMT–Neural Information Processing Systems

Work done while at University of Cambridge. The author is at Waymo now.

machine learning, natural language, random feature, (21 more...)

Neural Information Processing Systems

Dec-27-2025, 18:33:10 GMT

Conferences PDF

Country:
- Asia
  - China > Shanghai
    - Shanghai (0.04)
  - Middle East > Lebanon (0.04)
- Europe
  - Netherlands > North Holland
    - Amsterdam (0.04)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.24)
- North America
  - Canada
    - British Columbia > Vancouver (0.04)
    - Quebec > Montreal (0.04)
  - United States
    - California > San Diego County
      - San Diego (0.04)
    - Georgia > Fulton County
      - Atlanta (0.04)
    - Nevada (0.04)
    - Ohio > Franklin County
      - Columbus (0.04)
    - Texas > Travis County
      - Austin (0.04)
- Oceania
  - Australia
    - New South Wales > Sydney (0.04)
    - Queensland > Brisbane (0.04)
  - New Zealand > North Island
    - Waikato > Hamilton (0.04)
- South America > Chile
  - Santiago Metropolitan Region > Santiago Province > Santiago (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks > Deep Learning (0.67)
    - Statistical Learning (0.68)
  - Natural Language (1.00)
  - Representation & Reasoning (1.00)