most citedMulti-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach

1 citations · 1 across the 2 of their papers we have counts for

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3 papers

stat.ML2026

Conformal Risk Control under Non-Monotone Losses: Theory and Finite-Sample Guarantees

Tareq Aldirawi, Yun Li, Wenge Guo

Conformal risk control (CRC) provides distribution-free guarantees for controlling the expected loss at a user-specified level. Existing theory typically assumes that the loss decr…

stat.ME2024★ 1 cited

Multi-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach

Chhavi Tyagi, Wenge Guo

Multi-label classification is a common challenge in various machine learning applications, where a single data instance can be associated with multiple classes simultaneously. The…

stat.ME2024

Distribution-free Conformal Prediction for Ordinal Classification

Subhrasish Chakraborty, Chhavi Tyagi, Haiyan Qiao +1

Conformal prediction is a general distribution-free approach for constructing prediction sets combined with any machine learning algorithm that achieve valid marginal or conditiona…