overparameterized neural network

A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization JMLR 2026 High-Dimensional Analysis of Gradient Flow for Extensive-Width Quadratic Neural Networks JMLR 2026 On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks L4DC 2026 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 Get rid of your constraints and reparametrize: A study in NNLS and implicit bias AISTATS 2025 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Noisy Interpolation Learning with Shallow Univariate ReLU Networks ICLR 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 Data Valuation Without Training of a Model ICLR 2023 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks NeurIPS 2023 Explicit Regularization in Overparametrized Models via Noise Injection AISTATS 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 Provably and Practically Efficient Neural Contextual Bandits ICML 2023 Tuning Frequency Bias in Neural Network Training with Nonuniform Data ICLR 2023 AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022 Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR 2022 Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time AISTATS 2022 Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022 On feature learning in neural networks with global convergence guarantees ICLR 2022 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021 A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network COLT 2021