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Hypothesis Set Stability and Generalization

9 April 2019

Papers citing "Hypothesis Set Stability and Generalization"

22 / 22 papers shown

Title
Stability and Sharper Risk Bounds with Convergence Rate $O(1/n^2)$ Bowei Zhu Shaojie Li Yong Liu 43 0 0 13 Oct 2024
The Price of Implicit Bias in Adversarially Robust Generalization Nikolaos Tsilivis Natalie Frank Nathan Srebro Julia Kempe 106 4 0 07 Jun 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 131 5 0 26 Apr 2024
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang Yongyi Mao 90 7 0 31 Oct 2023
Stability and Generalization for Minibatch SGD and Local SGD Yunwen Lei Tao Sun Mingrui Liu 93 4 0 02 Oct 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity Sarah Sachs T. Erven Liam Hodgkinson Rajiv Khanna Umut Simsekli 68 3 0 04 Jul 2023
On the Stability and Generalization of Triplet Learning Jun Chen Hao Chen Xue Jiang Bin Gu Weifu Li Tieliang Gong Feng Zheng 54 4 0 20 Feb 2023
Generalization Bounds with Data-dependent Fractal Dimensions Benjamin Dupuis George Deligiannidis Umut cSimcsekli AI4CE 71 12 0 06 Feb 2023
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods Han Nguyen Hai Pham Sashank J. Reddi Barnabas Poczos ODL AI4CE 101 2 0 08 Nov 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 65 6 0 06 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 136 10 0 27 Sep 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer Manzil Zaheer A. S. Rawat Seungyeon Kim Chong You Himanshu Jain Andreas Veit Rob Fergus Surinder Kumar VLM 70 2 0 14 Aug 2022
Boosting the Confidence of Generalization for $L_2$ -Stable Randomized Learning Algorithms Xiao-Tong Yuan Ping Li 96 4 0 08 Jun 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 105 13 0 19 Jul 2021
Churn Reduction via Distillation Heinrich Jiang Harikrishna Narasimhan Dara Bahri Andrew Cotter Afshin Rostamizadeh 134 15 0 04 Jun 2021
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems Yunwen Lei Zhenhuan Yang Tianbao Yang Yiming Ying 80 48 0 08 May 2021
Relative Deviation Margin Bounds Corinna Cortes M. Mohri A. Suresh 84 14 0 26 Jun 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 123 80 0 23 Jun 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent Yunwen Lei Yiming Ying MLT 99 129 0 15 Jun 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 94 22 0 21 May 2020
Sharper bounds for uniformly stable algorithms Olivier Bousquet Yegor Klochkov Nikita Zhivotovskiy 64 122 0 17 Oct 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate Vitaly Feldman J. Vondrák 74 155 0 27 Feb 2019