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Workshop
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Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation
Ramnath Kumar · Dheeraj Nagaraj
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Poster
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Thu 14:00
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Benign Underfitting of Stochastic Gradient Descent
Tomer Koren · Roi Livni · Yishay Mansour · Uri Sherman
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Poster
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Wed 14:00
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On the generalization of learning algorithms that do not converge
Nisha Chandramoorthy · Andreas Loukas · Khashayar Gatmiry · Stefanie Jegelka
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Poster
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Thu 14:00
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Characterization of Excess Risk for Locally Strongly Convex Population Risk
Mingyang Yi · Ruoyu Wang · Zhi-Ming Ma
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Poster
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Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan · Yong Liu · Zhiwu Lu
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Workshop
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Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization
Jiancong Xiao · Jiawei Zhang · Zhiquan Luo · Asuman Ozdaglar
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Poster
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Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen · Qianqian Xu · Zhiyong Yang · Yuan He · Qingming Huang
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Poster
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Tue 9:00
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Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
Weixuan Liang · Xinwang Liu · Yong Liu · sihang zhou · Jun-Jie Huang · Siwei Wang · Jiyuan Liu · Yi Zhang · En Zhu
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