Develops robust online conformal prediction schemes that provide explicit miscoverage guarantees under feedback modeled as arbitrary binary flips or bounded-memory errors.
Gradient equilibrium in online learning: Theory and applications
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Online conformal framework for adversarial CVaR control with asymptotic guarantees and regret bounds, demonstrated on portfolio management and LLM toxicity mitigation.
The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.
citing papers explorer
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Online Conformal Prediction with Corrupted Feedback
Develops robust online conformal prediction schemes that provide explicit miscoverage guarantees under feedback modeled as arbitrary binary flips or bounded-memory errors.
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Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference
Online conformal framework for adversarial CVaR control with asymptotic guarantees and regret bounds, demonstrated on portfolio management and LLM toxicity mitigation.
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Theoretical Foundations of Conformal Prediction
The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.