ICML 2026 Tutorial on Model Calibration and Collaboration Releases Materials
Aaroth · x · 2026-07-30
Aaron Roth et al. shared their ICML 2026 tutorial materials on model calibration and its applications in downstream decision-making and collaboration.
The core focus is on making probabilistic predictions "trustworthy" for downstream users, highlighting two key applications:
- Decision Making: Enabling downstream users with different objectives to act optimally based on predictions with strong performance guarantees.
- Collaboration: Facilitating efficient collaboration between asymmetrically informed parties (e.g., AI and humans) by leveraging complementary knowledge.
Open-source materials include hundreds of pages of lecture notes, slides, an interactive demo, and an annotated reading list.
More from Research
- RL Robotics Build: First Episode Focuses on MuJoCo Simulator Setup — ShawnHymel · 2026-07-30
- How Machine Learning Shapes Trillion-Dollar Medicare Algorithms — 2plus2make5 · 2026-07-30
- CORTEX: Open-Sourcing Mechanistic Interpretability for Local LLMs — JayB_Official · 2026-07-30
- NeurIPS Review Debate: Researchers Propose Limiting Borderline Scores — AvivTamar1 · 2026-07-30
- A New Framework for Physical Computation Bridging Wave Physics and Neuromorphic Systems — neurovium · 2026-07-30
- Unifying Physical and Biological Computation via Category Theory: A Cross-Disciplinary Design Framework — neurovium · 2026-07-30