Pages that link to "Item:Q5222765"

The following pages link to Optimal errors and phase transitions in high-dimensional generalized linear models (Q5222765):

Displaying 45 items.

• The distribution of the Lasso: uniform control over sparse balls and adaptive parameter tuning (Q2054498) (← links)
• On the computational tractability of statistical estimation on amenable graphs (Q2067660) (← links)
• Optimal combination of linear and spectral estimators for generalized linear models (Q2088138) (← links)
• LASSO risk and phase transition under dependence (Q2106809) (← links)
• Fundamental barriers to high-dimensional regression with convex penalties (Q2119224) (← links)
• The asymptotic distribution of the MLE in high-dimensional logistic models: arbitrary covariance (Q2137045) (← links)
• Hamilton-Jacobi equations for inference of matrix tensor products (Q2155512) (← links)
• Strong replica symmetry in high-dimensional optimal Bayesian inference (Q2159230) (← links)
• Concentration of multi-overlaps for random dilute ferromagnetic spin models (Q2194166) (← links)
• Annealing and replica-symmetry in deep Boltzmann machines (Q2194174) (← links)
• Finite-sample analysis of \(M\)-estimators using self-concordance (Q2219231) (← links)
• Nonequilibrium thermodynamics of self-supervised learning (Q2236536) (← links)
• Phase transition in random tensors with multiple independent spikes (Q2240871) (← links)
• The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference (Q2312689) (← links)
• A spin Glass model for reconstructing nonlinearly encrypted signals corrupted by noise (Q2315132) (← links)
• Fundamental limits of weak recovery with applications to phase retrieval (Q2420637) (← links)
• A New Approach to Laplacian Solvers and Flow Problems (Q4633047) (← links)
• (Q4999045) (← links)
• Matrix inference and estimation in multi-layer models* (Q5020043) (← links)
• Generalisation error in learning with random features and the hidden manifold model* (Q5020057) (← links)
• (Q5054630) (← links)
• Approximate message passing with spectral initialization for generalized linear models* (Q5055411) (← links)
• Disordered systems insights on computational hardness (Q5055432) (← links)
• The adaptive interpolation method for proving replica formulas. Applications to the Curie–Weiss and Wigner spike models (Q5055675) (← links)
• Analysis of Bayesian inference algorithms by the dynamical functional approach (Q5059989) (← links)
• On the universality of noiseless linear estimation with respect to the measurement matrix (Q5061337) (← links)
• Information theoretic limits of learning a sparse rule (Q5078669) (← links)
• Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising (Q5101092) (← links)
• High-temperature expansions and message passing algorithms (Q5854076) (← links)
• Entropy and mutual information in models of deep neural networks* (Q5854116) (← links)
• The committee machine: computational to statistical gaps in learning a two-layers neural network (Q5854128) (← links)
• Semi-analytic approximate stability selection for correlated data in generalized linear models (Q5856917) (← links)
• Asymptotic learning curves of kernel methods: empirical data versus teacher–student paradigm (Q5857446) (← links)
• Large dimensional analysis of general margin based classification methods (Q5860319) (← links)
• A Unifying Tutorial on Approximate Message Passing (Q5863992) (← links)
• Replica analysis of overfitting in generalized linear regression models (Q5870629) (← links)
• Prediction errors for penalized regressions based on generalized approximate message passing (Q5879248) (← links)
• Automatic bias correction for testing in high‐dimensional linear models (Q6068053) (← links)
• The TAP free energy for high-dimensional linear regression (Q6109921) (← links)
• An introduction to machine learning: a perspective from statistical physics (Q6140146) (← links)
• Free energy of multi-layer generalized linear models (Q6155616) (← links)
• Noisy linear inverse problems under convex constraints: exact risk asymptotics in high dimensions (Q6183752) (← links)
• Universality of regularized regression estimators in high dimensions (Q6183759) (← links)
• Gibbs sampling the posterior of neural networks (Q6561781) (← links)
• Approximate message passing with rigorous guarantees for pooled data and quantitative group testing (Q6633050) (← links)