On the generalization of learning algorithms that do not converge

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On the generalization of learning algorithms that do not converge

Neural Information Processing Systems (NeurIPS), 2022

16 August 2022

N. Chandramoorthy

Khashayar Gatmiry

Stefanie Jegelka

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Papers citing "On the generalization of learning algorithms that do not converge"

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Title
Understanding the Generalization Error of Markov algorithms through Poissonization Benjamin Dupuis Maxime Haddouche George Deligiannidis Umut Simsekli 267 1 0 11 Feb 2025
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 539 7 0 03 Feb 2024
Signal Processing Meets SGD: From Momentum to Filter Zhipeng Yao Guisong Chang Jiaqi Zhang Qi Zhang Dazhou Li Yu Zhang ODL 576 0 0 06 Nov 2023
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression Xuxing Chen Krishnakumar Balasubramanian Promit Ghosal Bhavya Agrawalla 217 10 0 02 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient DescentIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Xiaoge Deng Li Shen Shengwei Li Tao Sun Dongsheng Li Dacheng Tao 296 4 0 18 Aug 2023
Learning Trajectories are Generalization IndicatorsNeural Information Processing Systems (NeurIPS), 2023 Jingwen Fu Zhizheng Zhang Dacheng Yin Yan Lu Nanning Zheng AI4CE 417 5 0 25 Apr 2023
Identifying Equivalent Training DynamicsNeural Information Processing Systems (NeurIPS), 2023 William T. Redman J. M. Bello-Rivas M. Fonoberova Ryan Mohr Ioannis G. Kevrekidis Igor Mezić 276 8 0 17 Feb 2023
Generalization Bounds with Data-dependent Fractal DimensionsInternational Conference on Machine Learning (ICML), 2023 Benjamin Dupuis George Deligiannidis Umut cSimcsekli AI4CE 186 16 0 06 Feb 2023