Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles

Rajeev Verma, Daniel Barrejon, Eric Nalisnick · 2022

3 Pith papers cite this work. Polarity classification is still indexing.

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Online Learning-to-Defer with Varying Experts

stat.ML · 2026-05-12

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer

stat.ML · 2026-04-10 · 2 refs

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees

cs.CL · 2024-10-21

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Online Learning-to-Defer with Varying Experts stat.ML · 2026-05-12 · unreviewed · ref 224
Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer stat.ML · 2026-04-10 · unreviewed · ref 29 · 2 links
Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees cs.CL · 2024-10-21 · unreviewed · ref 43