conftrace_

eigenvalue bound

10 papers

Explore in graph

Co-occurring keywords · papers mentioning both

neural tangent kernel (4) gradient descent (3) neural network optimization (3) covariance matrix (2) compressive fisher discriminant (1) smooth activation function (1) ramanujan graph (1) deep relu network (1) finite width analysis (1) hidden feature matrice (1)

Papers

Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension NeurIPS 2024 Neural tangent kernel at initialization: linear width suffices UAI 2023 REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH ICLR 2023 Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization NeurIPS 2022 Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks ICML 2021 Effect of Activation Functions on the Training of Overparametrized Neural Nets ICLR 2020 Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018 Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension ACML 2015 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006