overparameterized regime

General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Generalization Error of Graph Neural Networks in the Mean-field Regime ICML 2024 Learning Associative Memories with Gradient Descent ICML 2024 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds ICLR 2023 A Generalized Weighted Optimization Method for Computational Learning and Inversion ICLR 2022 Convergence beyond the over-parameterized regime using Rayleigh quotients NeurIPS 2022 Foolish Crowds Support Benign Overfitting JMLR 2022 Knowledge Distillation: Bad Models Can Be Good Role Models NeurIPS 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Deep Equals Shallow for ReLU Networks in Kernel Regimes ICLR 2021 Failures of Model-dependent Generalization Bounds for Least-norm Interpolation JMLR 2021 Is SGD a Bayesian sampler? Well, almost JMLR 2021 On the interplay between data structure and loss function in classification problems NeurIPS 2021 Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019