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two-layer neural network

34 papers

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Co-occurring keywords · papers mentioning both

gradient descent (10) neural network (7) stochastic gradient descent (5) generalization error (4) sample complexity (4) neural tangent kernel (4) relu activation (3) global convergence (3) non-convex optimization (3) overparameterized neural network (2)

Papers

Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias NeurIPS 2021 On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models ICML 2021 On the Representation of Solutions to Elliptic PDEs in Barron Spaces NeurIPS 2021 Learning Over-Parametrized Two-Layer Neural Networks beyond NTK COLT 2020 Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 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 NeurIPS 2017