Near-Tight Margin-Based Generalization Bounds for Support Vector Machines

3 June 2020

Papers citing "Near-Tight Margin-Based Generalization Bounds for Support Vector Machines"

11 / 11 papers shown

Title
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 114 1 0 03 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 178 0 0 25 Feb 2025
Tight Generalization Bounds for Large-Margin Halfspaces Kasper Green Larsen Natascha Schalburg 74 0 0 20 Feb 2025
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 95 146 0 01 Sep 2022
Optimal Weak to Strong Learning Kasper Green Larsen Martin Ritzert 65 14 0 03 Jun 2022
On the Optimization of Margin Distribution Meng-Zhang Qian Zheng Ai Teng Zhang Wei Gao 18 1 0 29 Apr 2022
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 89 20 0 08 Jul 2021
Compression Implies Generalization Allan Grønlund M. Hogsgaard Lior Kamma Kasper Green Larsen MLT AI4CE 16 0 0 15 Jun 2021
Margins are Insufficient for Explaining Gradient Boosting A. Jørgensen Lior Kamma Kasper Green Larsen FAtt 34 10 0 10 Nov 2020
On the proliferation of support vectors in high dimensions Daniel J. Hsu Vidya Muthukumar Ji Xu 97 45 0 22 Sep 2020
Relative Deviation Margin Bounds Corinna Cortes M. Mohri A. Suresh 79 14 0 26 Jun 2020