Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction

By Maxime Cauchois, Suyash Gupta, John C. Duchi. 2020

132 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Tal Schuster
2. Michael I. Jordan
3. Adam Fisch
4. Jitendra Malik
5. Stephen Bates
6. Anastasios Nikolas Angelopoulos
7. Regina Barzilay
8. Tommi S. Jaakkola

Citations in the corpus

• Consistent Accelerated Inference via Confident Adaptive Transformers (2021, background): “[3] presents algorithms for conformal multi-label predictions.”
• Adaptive Conformal Inference Under Distribution Shift (2021, unknown): “The generality of this approach has facilitated the development of a large suite of conformal methods, each specialized to a specific prediction problem of interest [e.g. 30, 11, 23, 8, 24, 21].”
• Uncertainty Sets for Image Classifiers using Conformal Prediction (2020, methodology): “Cauchois et al. (2020) introduce the worst-case slab metric for measuring violations of the conditional coverage property.”