15 problems
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The tight measurement complexity conjecture for adaptive sparse recovery
Tight measurement complexity conjecture. The lower bound can be extended to every
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Debiasing conjecture for additive global Fréchet regression
Let an additive global Fréchet regression estimator use an elastic-net-type penalty within a reproducing kernel Hilbert space framework, and consider debiasing techniques analogous…
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Vanishing prior mass for over-dimensional subspaces in hierarchical Gaussian process estimation
Let be the central subspace and let the hierarchical prior assign mass to subspaces of varying dimension, including dimensions greater than the intrinsic dimension…
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Strict phase-diagram improvement of thresholded SCAD over Lasso
Let thresholded SCAD denote the smoothly clipped absolute deviation variable-selection method followed by a thresholding post-processing step, and let denote the relevant po…
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The optimal tuning parameter conjecture for DPD-SIS with dependent covariates
Optimal tuning parameter conjecture. Based on simulation results, the DPD-SIS with an value around performs the best in the case of dependent covariates.
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Extension of the DPD-loss results without the covering-number assumption
The paper considers a DPD loss function and a covering-number assumption on the spaces used in Lemma . DPD-loss extension conjecture. It should be possible…
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Minimal-penalty algorithms beyond orthonormal selection and change-point detection
Consider variable-selection problems with estimator collections and minimal-penalty algorithms, including settings beyond orthonormal variable selection and change-point detection.…
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Minimal-penalty condition for orthonormal hard thresholding
Consider variable selection with an orthonormal design and Gaussian noise, with denoting model dimension and the noise variance. In this setting, the minimal penal…
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The algorithmic-gap conjecture for exact recovery in noisy compressed sensing
Let denote the signal amplitude, the noise level, the sparsity, the ambient dimension, and the sample size. Assume that … For a sufficiently small constant…
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Domain-expert customization conjecture for knockoff variable selection
The knockoff procedure is applied to high-dimensional controlled variable selection, with covariates potentially modeled or clustered and a statistic used to identify discoveries w…
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Li–Liang proportionality conjecture for penalty parameters and standard errors
Let be the tuning parameter associated with the covariate coefficient , and let the standard error of denote its estimated sampling uncertainty. Li–L…
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Conjecture on oracle and selected-variable estimation matrices in sufficient dimension reduction
Let be the matrix formed using the first variables for the exact oracle sparse dimension-reduction estimator, and let be the correspondi…
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The correlation-masking conjecture for the TCRD gene in leukemia classification
The leukemia dataset contains gene-expression measurements for 72 patients classified as acute lymphoblastic leukemia or acute myeloid leukemia, including the Zyxin, Transcriptiona…
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Li and Liang's conjecture on penalty magnitudes and estimator standard errors
Let be the smoothing or penalty parameter associated with the th component, and let be the corresponding regression parameter. The unpenalized maximum pseu…
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Extension of sure independence screening to arbitrary single-index outcome distributions
Single-index distribution conjecture. The results of the paper should continue to hold under this assumption, without specifying the conditional distribution beyond its dependence…