8 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
AutoEval Done Right: Using Synthetic Data for Model Evaluation
Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef +2
The evaluation of machine learning models using human-labeled validation data can be expensive and time-consuming. AI-labeled synthetic data can be used to decrease the number of h…
Theoretical Foundations of Conformal Prediction
Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates
This book is about conformal prediction and related inferential techniques that build on permutation tests and exchangeability. These techniques are useful in a diverse array of ta…
Conformal Risk Control for Non-Monotonic Losses
Anastasios N. Angelopoulos
Conformal risk control is an extension of conformal prediction for controlling risk functions beyond miscoverage. The original algorithm controls the expected value of a loss that…