UPS framework uses conformal prediction to calibrate VLM verifiers for choosing between high-confidence action execution, natural language task queries, or policy interventions, then applies residual learning from interventions to continually improve the base policy with minimal feedback.
Springer, 2005
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Differentiable nonconformity scores induce flows that sample conformal prediction set boundaries, and mixing flows across levels produces conformal predictive distributions whose quantiles match the sets.
Pooled conformal calibration incurs irreducible group-wise coverage distortion set by cross-group quantile heterogeneity, and Equalized Coverage and Equalized Set Size are in fundamental tension.
OLCP and OLCP-Hedge achieve long-run valid coverage in non-exchangeable online settings with narrower prediction sets by localizing conformal prediction to covariates and selecting bandwidth via online convex optimization.
citing papers explorer
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When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
UPS framework uses conformal prediction to calibrate VLM verifiers for choosing between high-confidence action execution, natural language task queries, or policy interventions, then applies residual learning from interventions to continually improve the base policy with minimal feedback.
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Flow-Based Conformal Predictive Distributions
Differentiable nonconformity scores induce flows that sample conformal prediction set boundaries, and mixing flows across levels produces conformal predictive distributions whose quantiles match the sets.
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On the Burden of Achieving Fairness in Conformal Prediction
Pooled conformal calibration incurs irreducible group-wise coverage distortion set by cross-group quantile heterogeneity, and Equalized Coverage and Equalized Set Size are in fundamental tension.
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Online Localized Conformal Prediction
OLCP and OLCP-Hedge achieve long-run valid coverage in non-exchangeable online settings with narrower prediction sets by localizing conformal prediction to covariates and selecting bandwidth via online convex optimization.