conftrace_

two-layer network

11 papers

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Co-occurring keywords

neural network (6616) gradient descent (1144) logistic loss (30) convex optimization (1321) stochastic gradient descent (1091) neural tangent kernel (205) perturbation learning (5) class-specific feature (3) theoretical guarantee (41) margin improvement (1)

Papers

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NIPS 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks NIPS 2024
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks COLT 2023
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NIPS 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021
Learning Constraints for Structured Prediction Using Rectifier Networks ACL 2020
Limitations of Lazy Training of Two-layers Neural Network NIPS 2019
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NIPS 2018
Learning Polynomials with Neural Networks ICML 2014
Convex Two-Layer Modeling NIPS 2013