C-SymmPI reformulates conditional coverage as miscoverage error over a user-specified function class to deliver near-conditional guarantees under group symmetries and distributional invariance.
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2026 2representative citing papers
A zero-inflated Poisson tensor model with shared low-rank, smooth, and clustered latent structure is proposed, with theory and empirical support.
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Conditional Predictive Inference for General Structured Data with Group Symmetries
C-SymmPI reformulates conditional coverage as miscoverage error over a user-specified function class to deliver near-conditional guarantees under group symmetries and distributional invariance.
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A Probabilistic Model for Zero-Inflated Count Tensors with Structured Latent Representations
A zero-inflated Poisson tensor model with shared low-rank, smooth, and clustered latent structure is proposed, with theory and empirical support.