{"total":23,"rows":[{"id":"2111.13171","title":"Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks","created":"2021-11-25","cited_by_count":70,"area":null},{"id":"2209.14863","title":"Neural Networks Efficiently Learn Low-Dimensional Representations with SGD","created":"2022-09-29","cited_by_count":63,"area":null},{"id":"2108.00781","title":"Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers","created":"2021-08-02","cited_by_count":27,"area":null},{"id":"2203.02474","title":"Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms","created":"2022-03-04","cited_by_count":22,"area":null},{"id":"2310.01687","title":"From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression","created":"2023-10-02","cited_by_count":17,"area":null},{"id":"2302.02766","title":"Generalization Bounds with Data-dependent Fractal Dimensions","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2306.04375","title":"Learning via Wasserstein-Based High Probability Generalisation Bounds","created":"2023-06-07","cited_by_count":12,"area":null},{"id":"2209.08951","title":"Generalization Bounds for Stochastic Gradient Descent via Localized $\\varepsilon$-Covers","created":"2022-09-19","cited_by_count":11,"area":null},{"id":"2211.10691","title":"Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States","created":"2022-11-19","cited_by_count":11,"area":null},{"id":"2303.05369","title":"Data-dependent Generalization Bounds via Variable-Size Compressibility","created":"2023-03-09","cited_by_count":9,"area":null},{"id":"2404.17442","title":"Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets","created":"2024-04-26","cited_by_count":9,"area":null},{"id":"2310.15418","title":"Fractal Landscapes in Policy Optimization","created":"2023-10-24","cited_by_count":8,"area":null},{"id":"2406.02234","title":"On the Limitations of Fractal Dimension as a Measure of Generalization","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2307.02501","title":"Generalization Guarantees via Algorithm-dependent Rademacher Complexity","created":"2023-07-04","cited_by_count":4,"area":null},{"id":"2312.00427","title":"From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD","created":"2023-12-01","cited_by_count":4,"area":null},{"id":"2407.03641","title":"Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy","created":"2024-07-04","cited_by_count":3,"area":null},{"id":"2303.12722","title":"Learning Fractals by Gradient Descent","created":"2023-03-14","cited_by_count":2,"area":null},{"id":"2502.07584","title":"Generalization Bounds for Markov Algorithms through Entropy Flow Computations","created":"2025-02-11","cited_by_count":2,"area":null},{"id":"2503.22478","title":"Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2604.19740","title":"Generalization at the Edge of Stability","created":"2026-04-21","cited_by_count":2,"area":null},{"id":"2403.06079","title":"Generalization of Graph Neural Networks through the Lens of Homomorphism","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2606.08799","title":"Generalization in Nonlinear Least Squares via Learned Feature Geometry","created":"2026-06-07","cited_by_count":1,"area":null},{"id":"2206.04359","title":"Learning Non-Vacuous Generalization Bounds from Optimization","created":"2022-06-09","cited_by_count":0,"area":null}],"next_cursor":null}