{"total":27,"rows":[{"id":"2103.10427","title":"The Low-Rank Simplicity Bias in Deep Networks","created":"2021-03-18","cited_by_count":154,"area":null},{"id":"2205.10217","title":"Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization","created":"2022-05-20","cited_by_count":36,"area":null},{"id":"2308.00522","title":"Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup","created":"2023-07-30","cited_by_count":23,"area":null},{"id":"2208.04508","title":"Training Overparametrized Neural Networks in Sublinear Time","created":"2022-08-09","cited_by_count":22,"area":null},{"id":"2109.09304","title":"Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks","created":"2021-09-20","cited_by_count":21,"area":null},{"id":"2401.07187","title":"A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models","created":"2024-01-14","cited_by_count":20,"area":null},{"id":"2205.13797","title":"AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation","created":"2022-05-27","cited_by_count":19,"area":null},{"id":"2106.04770","title":"Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space","created":"2021-06-09","cited_by_count":7,"area":null},{"id":"2107.01832","title":"Provable Convergence of Nesterov's Accelerated Gradient Method for Over-Parameterized Neural Networks","created":"2021-07-05","cited_by_count":7,"area":null},{"id":"2403.04236","title":"Regularized DeepIV with Model Selection","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2110.07807","title":"Provable Regret Bounds for Deep Online Learning and Control","created":"2021-10-15","cited_by_count":6,"area":null},{"id":"2207.07287","title":"Riemannian Natural Gradient Methods","created":"2022-07-15","cited_by_count":5,"area":null},{"id":"2210.11452","title":"Global Convergence of SGD On Two Layer Neural Nets","created":"2022-10-20","cited_by_count":5,"area":null},{"id":"2211.04589","title":"Finite Sample Identification of Wide Shallow Neural Networks with Biases","created":"2022-11-08","cited_by_count":5,"area":null},{"id":"2101.04243","title":"A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks","created":"2021-01-12","cited_by_count":4,"area":null},{"id":"2109.08282","title":"AdaLoss: A computationally-efficient and provably convergent adaptive gradient method","created":"2021-09-17","cited_by_count":4,"area":null},{"id":"2210.06819","title":"Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence","created":"2022-10-13","cited_by_count":3,"area":null},{"id":"2404.08624","title":"Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks","created":"2024-04-12","cited_by_count":3,"area":null},{"id":"2603.09355","title":"SHANG++: Robust Stochastic Acceleration under Multiplicative Noise","created":"2026-03-10","cited_by_count":3,"area":null},{"id":"2111.15317","title":"AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop","created":"2021-11-30","cited_by_count":2,"area":null},{"id":"2205.13507","title":"A Framework for Overparameterized Learning","created":"2022-05-26","cited_by_count":2,"area":null},{"id":"2506.08464","title":"MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature","created":"2025-06-10","cited_by_count":2,"area":null},{"id":"2206.05562","title":"Parameter Convex Neural Networks","created":"2022-06-11","cited_by_count":1,"area":null},{"id":"2212.02323","title":"Improved Convergence Guarantees for Shallow Neural Networks","created":"2022-12-05","cited_by_count":1,"area":null},{"id":"2509.24544","title":"Quantitative convergence of trained single layer neural networks to Gaussian processes","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2111.01166","title":"Dynamics of Local Elasticity During Training of Neural Nets","created":"2021-11-01","cited_by_count":0,"area":null},{"id":"2206.03254","title":"Demystifying the Global Convergence Puzzle of Learning Over-parameterized ReLU Nets in Very High Dimensions","created":"2022-06-05","cited_by_count":0,"area":null}],"next_cursor":null}