Non-Vacuous Generalisation Bounds for Shallow Neural Networks

3 February 2022

Papers citing "Non-Vacuous Generalisation Bounds for Shallow Neural Networks"

22 / 22 papers shown

Title
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Khoat Than Dat Phan BDL AAML VLM 57 0 0 10 Mar 2025
A Generalization Bound for Nearly-Linear Networks Eugene Golikov 19 0 0 09 Jul 2024
A note on regularised NTK dynamics with an application to PAC-Bayesian training Eugenio Clerico Benjamin Guedj 25 0 0 20 Dec 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 9 3 0 17 Oct 2023
Comparing Comparators in Generalization Bounds Fredrik Hellström Benjamin Guedj 23 4 0 16 Oct 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting Felix Biggs Antonin Schrab A. Gretton 9 17 0 14 Jun 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 14 12 0 07 Jun 2023
Generalization Bounds for Neural Belief Propagation Decoders S. Adiga Xin Xiao Ravi Tandon Bane V. Vasic Tamal Bose BDL AI4CE 14 4 0 17 May 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche Benjamin Guedj 19 0 0 14 Apr 2023
A unified recipe for deriving (time-uniform) PAC-Bayes bounds Ben Chugg Hongjian Wang Aaditya Ramdas 19 24 0 07 Feb 2023
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 27 17 0 24 Oct 2022
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs Benjamin Guedj 10 7 0 20 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 37 20 0 03 Oct 2022
A Note on the Efficient Evaluation of PAC-Bayes Bounds Felix Biggs 24 1 0 12 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 23 4 0 06 Sep 2022
On Margins and Generalisation for Voting Classifiers Felix Biggs Valentina Zantedeschi Benjamin Guedj 17 8 0 09 Jun 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 14 13 0 11 Feb 2022
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound Reuben Adams John Shawe-Taylor Benjamin Guedj 14 2 0 11 Feb 2022
Learning PAC-Bayes Priors for Probabilistic Neural Networks Maria Perez-Ortiz Omar Rivasplata Benjamin Guedj M. Gleeson Jingyu Zhang John Shawe-Taylor M. Bober J. Kittler UQCV 49 31 0 21 Sep 2021
Wide stochastic networks: Gaussian limit and PAC-Bayesian training Eugenio Clerico George Deligiannidis Arnaud Doucet 20 11 0 17 Jun 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 24 40 0 01 Jul 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 577 0 27 Feb 2015