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1904.04755
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Hypothesis Set Stability and Generalization
9 April 2019
Dylan J. Foster
Spencer Greenberg
Satyen Kale
Haipeng Luo
M. Mohri
Karthik Sridharan
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Papers citing
"Hypothesis Set Stability and Generalization"
22 / 22 papers shown
Title
Stability and Sharper Risk Bounds with Convergence Rate
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O(1/n^2)
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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
L_2
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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
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