17 problems
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Replica prediction for the single-index global maximum
Replica prediction for the single-index global maximum. Under this double limit,
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Montanari–Richard conjecture on sample complexity for single-spiked tensor recovery
In the single-spiked tensor model, let be the dimension and the tensor order. Consider local algorithms initialized randomly, as well as Sum-of-Squares (SoS) and spectral m…
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Tensor PCA SOS-threshold conjecture
In the symmetric Tensor Principal Component Analysis model, let be an unknown signal and observe, for , measurements … where the noise variable…
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The Kikuchi spectral-threshold conjecture
Fix even and with , and let independently for each -subset . Define the Kikuchi matrix , indexed b…
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WEM19 conjecture on arbitrarily small tensor PCA detection thresholds
Let and be as in the Kikuchi-matrix detection method, and let denote its detection-threshold constant. WEM19's conjecture. An…
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The super-polynomial time conjecture for tensor power iteration
Let and let denote the normalized signal-to-noise parameter in tensor power iteration. The super-polynomial time conjecture asserts that the time complexity of…
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The algorithmic threshold conjecture for tensor PCA
Consider the order- tensor PCA model with dimension and signal-to-noise ratio . The algorithmic threshold conjecture asserts that the minimal signal-to-noise ratio abo…
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The computational hardness conjecture for statistical inference problems
Many statistical inference problems have a range of sample sizes or signal-to-noise ratios in which information-theoretic inference of the unknown parameter is possible. These rang…
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Strict all-or-nothing transition conjecture for maximum-likelihood estimation in sparse tensor PCA
Consider the sparse Bernoulli tensor-PCA model … with , and let denote the maximum-like…
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Computational-statistical gap conjecture for Tensor PCA
Let be the tensor dimension, the tensor order, and the number of samples in the Tensor PCA problem. A testing or estimation procedure is computationally efficient if…
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Maximum-likelihood optimality conjecture for sparse tensor PCA
Let and denote the latent signal and observations in the sparse tensor PCA Gaussian model, respectively. The Bayes-optimal estimator is…
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Odd-order Kikuchi Hessian optimality conjecture
Let be odd and fix an integer . For with and with , define the rectangula…
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Log-free performance conjecture for the even-order Kikuchi algorithms
Fix an integer and let be constant independently of . Log-free performance conjecture. There exists a constant , with as …
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Gaussian marginal conjecture for the pure-noise Gibbs measure
Let be the sphere, let be the pure-noise Hamiltonian, and for let be the Gibbs measure with density proportional to…
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Sharpness of the equatorial escape threshold for Langevin recovery
Let denote the pure-noise Hamiltonian, let , and consider Langevin dynamics with signal-to-noise parameter , initialized uniformly…
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The necessary and sufficient signal threshold conjecture for tensor PCA
Let be the tensor order, the ambient dimension, and the signal-to-noise parameter in the standard Gaussian tensor PCA model. Tensor PCA threshold conjecture. A nece…
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The recursive unfolding threshold conjecture for symmetric tensor PCA
Let be the tensor order, the ambient dimension, and the signal-to-noise parameter in the tensor PCA model. For the recursive unfolding algorithm and the original sy…