{"total":31,"rows":[{"id":"2305.17476","title":"Toward Understanding Generative Data Augmentation","created":"2023-05-27","cited_by_count":25,"area":null},{"id":"2507.20016","title":"FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging","created":"2025-07-26","cited_by_count":25,"area":null},{"id":"2306.05706","title":"Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization","created":"2023-06-09","cited_by_count":21,"area":null},{"id":"2204.12446","title":"Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD","created":"2022-04-26","cited_by_count":19,"area":null},{"id":"2306.02939","title":"Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm","created":"2023-06-05","cited_by_count":10,"area":null},{"id":"2208.07951","title":"On the generalization of learning algorithms that do not converge","created":"2022-08-16","cited_by_count":9,"area":null},{"id":"2203.03159","title":"Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime","created":"2022-03-07","cited_by_count":8,"area":null},{"id":"2303.10758","title":"Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization","created":"2023-03-19","cited_by_count":6,"area":null},{"id":"2305.12056","title":"Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent","created":"2023-05-20","cited_by_count":6,"area":null},{"id":"2106.06153","title":"Towards Understanding Generalization via Decomposing Excess Risk Dynamics","created":"2021-06-11","cited_by_count":5,"area":null},{"id":"2304.12579","title":"Learning Trajectories are Generalization Indicators","created":"2023-04-25","cited_by_count":5,"area":null},{"id":"2305.02247","title":"Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2310.01139","title":"Minibatch and Local SGD: Algorithmic Stability and Linear Speedup in Generalization","created":"2023-10-02","cited_by_count":5,"area":null},{"id":"2310.00277","title":"A Unified Framework for Generative Data Augmentation: A Comprehensive Survey","created":"2023-09-30","cited_by_count":4,"area":null},{"id":"2407.08632","title":"Generalization Error Matters in Decentralized Learning Under Byzantine Attacks","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2310.03461","title":"Towards Understanding Generalization and Stability Gaps between Centralized and Decentralized Federated Learning","created":"2023-10-05","cited_by_count":3,"area":null},{"id":"2502.17024","title":"Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2307.04679","title":"Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles","created":"2023-07-10","cited_by_count":2,"area":null},{"id":"2410.07272","title":"Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2202.06880","title":"Black-Box Generalization: Stability of Zeroth-Order Learning","created":"2022-02-14","cited_by_count":1,"area":null},{"id":"2306.01149","title":"AI Liability Insurance With an Example in AI-Powered E-diagnosis System","created":"2023-06-01","cited_by_count":1,"area":null},{"id":"2401.04067","title":"Convex SGD: Generalization Without Early Stopping","created":"2024-01-08","cited_by_count":1,"area":null},{"id":"2410.06482","title":"OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2506.09438","title":"Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2107.08686","title":"Improved Learning Rates for Stochastic Optimization","created":"2021-07-19","cited_by_count":0,"area":null},{"id":"2308.09430","title":"Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent","created":"2023-08-18","cited_by_count":0,"area":null},{"id":"2602.22936","title":"Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.06281","title":"Generalization error bounds for two-layer neural networks with Lipschitz loss function","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.12768","title":"Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2606.06934","title":"Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2606.28123","title":"Dangerous Liaisons of Convex Learning and Non-Affine Aggregation","created":"2026-06-26","cited_by_count":0,"area":null}],"next_cursor":null}