Prediction-Powered Conditional Inference

arXiv:2603.05575 · stat.ML, cs.LG · Submitted 2026-03-05 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-03-05

Updated: 2026-08-29

Code: https://github.com/aangelopoulos/ppi_py

Terminology

• Regularization — 34× in this paper · explained in 3 episodes
• Uncertainty Quantification — 7× in this paper · explained in 8 episodes
• Theoretical Guarantees — 6× in this paper · explained in 2 episodes
• Conformal Prediction — 4× in this paper · explained in 5 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space (RKHS) — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Additivity — 1× in this paper · explained in 1 episode
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Error Decomposition — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes

Sources

• PPI++: Efficient Prediction-Powered Inference
• Adversarial Estimation of Riesz Representers

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