23 problems
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Conjecture that exact likelihood is less favorable in one-pass Bayesian learning
Bayesian online learning updates the posterior sequentially and therefore requires an approximation at each step. Under the one-pass constraint, the data are processed sequentially…
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Conjecture that one-pass learning's dimension gap can be relaxed
The one-pass setting requires controlling the smoothness of the empirical risk at each iteration, which can impose substantially stronger dimension-dependent conditions than in bat…
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NP optimality of geometric neutral zones
NP optimality of geometric neutral zones. The reliability score induces a monotone likelihood-ratio ordering: whenever ,
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Class-switching conjecture for prevalence-weighted cross-entropy
Let be a binary softmax function with elements and that minimize the prevalence-weighted cross-entropy objective in the infinite-sample limit, where…
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Conjecture on false confidence for nonlinear functions of model parameters
Let be a hypothesis concerning the values of a non-linear function of the model parameters, such as a hypothesis about a ratio. False-confidence conjecture. False confidence te…
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The conjecture on analyst-controlled choices and epistemic uncertainty in conformal prediction
Let be the significance level, which fixes the tolerated error, and let be a non-conformity score embodying modeling assumptions. Conjecture. The ana…
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Uncertainty-quantified synchrosqueezing for expert annotation and spindle dynamics
Sleep spindle annotation and the exploration of spindle dynamics use the synchrosqueezing transform (SST) together with the proposed bootstrap-based uncertainty quantification. Unc…
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Bootstrap uncertainty quantification for synchrosqueezing-based sleep spindle analysis
Sleep spindle durations and instantaneous-frequency dynamics are difficult to estimate from electroencephalogram signals because of their thin-tail structure and background noise.…
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Fractional-posterior conjecture for automatically valid uncertainty quantification
Fractional-posterior uncertainty-quantification conjecture. Choosing might automatically accommodate the inflation needed for posterior credible regions to be asymptotica…
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Single-integral reduction of the polar collision-probability formula
Single-integral reduction conjecture. The polar-coordinate collision-probability expression should be reducible to a single integral, including for anisotropic uncertainty.
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The K-means/center stability conjecture for statistical depth-based uncertainty scores
K-means/center stability conjecture. This averaging effect makes the method much more stable and facilitates capturing the overall shape of the cluster by avoiding certain irregula…
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The dimensionality conjecture for functional and coefficient inputs in dynamical-system models
The LAMP and MMT data sets arise from complex dynamical systems, and the study compares models using functional inputs with models using reduced-order-model coefficient inputs. Dim…
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The Latin-squares initialization bound suffices for uncertainty-based matrix completion guarantees
Sufficiency conjecture. The upper bound of Lemma should suffice to invoke the cited matrix-completion result, although with larger residual terms and a lower probability of success…
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The Gaussian RKHS conjecture for localized predictive uncertainty representation
The model predictive probability density function is to be represented in a localized functional space. Gaussian RKHS conjecture. The Gaussian reproducing kernel Hilbert space (RKH…
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Conjecture on uniform input distributions diluting likelihood-ratio benefits in US-LW
Uniform-distribution effect conjecture. The faster convergence of IVR-LW relative to IVR-IW and IVR, and the lack of substantial gains for US-LW over US, are due to the fact that s…
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The conjecture on limited significance of power-density reconstruction error in acousto-electric tomography
Limited-error conjecture. This kind of error in the reconstructed power density is not too significant, probably because the features across all the power densities corresponding t…
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Conjecture on stochastic modeling of simulation uncertainty
Let be the deterministic mapping from an initial mesh to a deformed mesh, and let the stochastic effects at mesh points be modeled by stochastic Itô processes .…
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The weak-correlation conjecture for individual ellipsoids in robust optimization
Weak-correlation conjecture. If the correlations among the data for the individual constraints are weak, one should use individual ellipsoids that are later aggregated.
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The conjecture that PDD component functions have insignificant high-variate interactions
PDD interaction conjecture. The component functions arising in the function decomposition should exhibit insignificant -variate interactions when , leading to useful low…
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Conjecture that alternative exact approaches may improve BMCMC performance
Conjecture on alternative exact approaches. The lack of faster convergence for BMCMC appears to be due to inaccurate estimation of the kernel mean, and alternative exact approaches…
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Conjecture on sample complexity for active-subspace activity scores
Sample-complexity conjecture. The number of samples needed for accurate Monte Carlo estimates of the activity scores may be smaller than the number of samples needed for…
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Exact-mean conjecture for bivariate and higher-variate FDD approximations
Let be a stochastic response with mean , and let denote its -variate functional dimensional decomposition approximation.…
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Conjecture on noise sensitivity in time-dependent reconstruction
Noise-sensitivity conjecture. The sensitivity to noise in the present problem is related to its time-dependent character: the effect of instantaneously small noise levels may be co…