Benjamin Eysenbach
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Announcement_5

July 1, 2024

2024

Excited to share work that will be presented at ICML 2024!

  • A Rate-Distortion View of Uncertainty Quantification. Work led by Ifigeneia Apostolopoulou.
  • Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. Work led by Vivek Myers. [Code]
  • Learning to Assist Humans without Inferring Rewards. Work led by Vivek Myers and Evan Ellis. At the ICML 2024 Workshop on Models of Human Feedback for AI Alignment.
© Copyright 2025 Benjamin Eysenbach. Last updated: May 07, 2025.