Kai Xu
Scholar

Kai Xu

Google Scholar ID: kf3C60wAAAAJ
Red Hat AI, MIT-IBM Watson AI Lab
generative modelsBayesian inferenceprobabilistic programming
Citations & Impact
All-time
Citations
1,221
 
H-index
14
 
i10-index
20
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • 1. Publications: Multiple papers published in top conferences and journals such as ICML, ICLR, NeurIPS, covering areas like probabilistic inference, density ratio estimation, high-frequency function learning, etc. 2. Project Contributions: Involved in several research projects such as Dr. SoW, LAB, InstructLab CLI, etc.
Research Experience
  • 1. Research Scientist at the Red Hat AI Innovation Team and MIT-IBM Watson AI Lab. 2. Original member of the TuringLang team, working on building the Turing probabilistic programming language in Julia. 3. Led the initial development of the InstructLab CLI in the open-source LLM project InstructLab. 4. Worked at Hazy, a startup on synthetic data generation, for 9 months after his PhD.
Education
  • PhD: Institute for Adaptive and Neural Computation, University of Edinburgh, Advisor: Charles Sutton; Master's: Cambridge Machine Learning Group, University of Cambridge, Advisor: Zoubin Ghahramani.
Background
  • Research Interests: Practical probabilistic methods, learning, inference, and alignment methods for deep probabilistic models and their real-world applications. Professional Field: Machine Learning, Probabilistic Programming Languages. Brief Introduction: Research scientist at the Red Hat AI Innovation Team and MIT-IBM Watson AI Lab, original member of the TuringLang team, involved in the open-source LLM project InstructLab.
Miscellany
  • Personal Interests: Not specified.