Richa Rastogi
Scholar

Richa Rastogi

Google Scholar ID: hhy7tVIAAAAJ
Cornell University
Machine Learning
Citations & Impact
All-time
Citations
71
 
H-index
3
 
i10-index
2
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • - 'MultiScale Contextual Bandits for Long-term Objectives', NeurIPS 2025
  • - 'Fairness in Ranking under Disparate Uncertainty', EAAMO 2024
  • - 'Semi-Parametric Inducing Point Networks and Neural Processes', ICLR 2023
Research Experience
  • Worked with several Netflix researchers during 2025; Prior to starting PhD, had worked at Amazon, Stanford, Georgia Tech, and Delhi University, India.
Education
  • PhD Candidate at Cornell University, advised by Professor Thorsten Joachims; Specific details on time and major not provided.
Background
  • Research interests: Learning from feedback in interactive systems, including recommender systems and LLMs; Focus areas: Machine learning, probabilistic modeling, and reinforcement learning; Summary: Aiming to develop methods that address real-world complexities such as sparse rewards, long horizons, computational inefficiency, etc., with an eye towards the social impact of these systems.
Miscellany
  • Will be presenting the MultiScale Bandits paper at NeurIPS'25 in San Diego. Open to collaboration or scheduling meetings.
Co-authors
0 total
Co-authors: 0 (list not available)