conftrace_

two-layer neural network

19 papers

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Co-occurring keywords

gradient descent (1144) neural network (6616) stochastic gradient descent (1091) relu activation (93) sample complexity (1169) non-convex optimization (547) complexity bound (50) linear convergence (158) convergence analysis (395) neural tangent kernel (205)

Papers

Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024
On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation ALT 2024
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NIPS 2023
Efficient displacement convex optimization with particle gradient descent ICML 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
Entropic Fictitious Play for Mean Field Optimization Problem JMLR 2023
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks COLT 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022
On the Representation of Solutions to Elliptic PDEs in Barron Spaces NIPS 2021
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias NIPS 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network COLT 2021
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models ICML 2021
Learning Over-Parametrized Two-Layer Neural Networks beyond NTK COLT 2020
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition AISTATS 2019
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017