relu network

Exact marginal prior distributions of finite Bayesian neural networks NeurIPS 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 From Local Pseudorandom Generators to Hardness of Learning COLT 2021 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021 How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR 2021 Implicit Regularization in ReLU Networks with the Square Loss COLT 2021 On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths ICML 2021 On the Random Conjugate Kernel and Neural Tangent Kernel ICML 2021 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime ICLR 2021 Path-BN: Towards effective batch normalization in the Path Space for ReLU networks UAI 2021 Precise characterization of the prior predictive distribution of deep ReLU networks NeurIPS 2021 Revealing the Structure of Deep Neural Networks via Convex Duality ICML 2021 Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021 The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks COLT 2021 The Implicit Bias of Minima Stability: A View from Function Space NeurIPS 2021 The inductive bias of ReLU networks on orthogonally separable data ICLR 2021 Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning ICML 2021 A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case ICLR 2020 Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks COLT 2020 Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry NeurIPS 2020 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020 Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models AISTATS 2020 Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem ICLR 2020 Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020