{"total":20,"rows":[{"id":"2209.08709","title":"BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach","created":"2022-09-19","cited_by_count":105,"area":null},{"id":"2202.05928","title":"Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data","created":"2022-02-11","cited_by_count":74,"area":null},{"id":"2309.01753","title":"On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation","created":"2023-09-04","cited_by_count":51,"area":null},{"id":"2210.07082","title":"Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data","created":"2022-10-13","cited_by_count":46,"area":null},{"id":"2303.04145","title":"Benign Overfitting for Two-layer ReLU Convolutional Neural Networks","created":"2023-03-07","cited_by_count":34,"area":null},{"id":"2402.05738","title":"Implicit Bias and Fast Convergence Rates for Self-attention","created":"2024-02-08","cited_by_count":31,"area":null},{"id":"2303.03944","title":"On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level","created":"2023-03-07","cited_by_count":14,"area":null},{"id":"2310.12408","title":"Provable Guarantees for Neural Networks via Gradient Feature Learning","created":"2023-10-19","cited_by_count":14,"area":null},{"id":"2204.10782","title":"On Feature Learning in Neural Networks with Global Convergence Guarantees","created":"2022-04-22","cited_by_count":13,"area":null},{"id":"2407.17823","title":"Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization","created":"2024-07-25","cited_by_count":11,"area":null},{"id":"2502.08585","title":"LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control","created":"2025-02-12","cited_by_count":7,"area":null},{"id":"2303.03984","title":"Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization","created":"2023-03-07","cited_by_count":6,"area":null},{"id":"2301.09511","title":"On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality","created":"2023-01-23","cited_by_count":4,"area":null},{"id":"2311.04520","title":"Adaptive Mirror Descent Bilevel Optimization","created":"2023-11-08","cited_by_count":2,"area":null},{"id":"2306.01870","title":"Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks","created":"2023-06-02","cited_by_count":1,"area":null},{"id":"2502.11152","title":"Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks","created":"2025-02-16","cited_by_count":1,"area":null},{"id":"2506.07088","title":"Pointwise confidence estimation in the non-linear $\\ell^2$-regularized least squares","created":"2025-06-08","cited_by_count":1,"area":null},{"id":"2202.10670","title":"From Optimization Dynamics to Generalization Bounds via {\\L}ojasiewicz Gradient Inequality","created":"2022-02-22","cited_by_count":0,"area":null},{"id":"2212.03765","title":"Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points","created":"2022-12-07","cited_by_count":0,"area":null},{"id":"2306.04756","title":"A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions","created":"2023-06-07","cited_by_count":0,"area":null}],"next_cursor":null}