User-friendly introduction to PAC-Bayes bounds

21 October 2021

Papers citing "User-friendly introduction to PAC-Bayes bounds"

50 / 159 papers shown

Title
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 29 3 0 30 Jan 2023
$Semiparametric inference using fractional posteriors$ Semiparametric inference using fractional posteriors Alice L'Huillier Luke Travis I. Castillo Kolyan Ray 17 5 0 19 Jan 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 23 2 0 02 Jan 2023
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models Deividas Eringis J. Leth Z. Tan Rafal Wisniewski M. Petreczky 27 1 0 30 Dec 2022
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison H. Flynn David Reeb M. Kandemir Jan Peters OffRL 11 7 0 29 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 35 5 0 22 Nov 2022
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States Ziqiao Wang Yongyi Mao 21 10 0 19 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 35 7 0 14 Nov 2022
PAC-Bayesian Offline Contextual Bandits With Guarantees Otmane Sakhi Pierre Alquier Nicolas Chopin OffRL 21 12 0 24 Oct 2022
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs Benjamin Guedj 18 7 0 20 Oct 2022
PAC-Bayesian Learning of Optimization Algorithms Michael Sucker Peter Ochs 19 4 0 20 Oct 2022
Dimension-free Bounds for Sum of Dependent Matrices and Operators with Heavy-Tailed Distribution Shogo H. Nakakita Pierre Alquier Masaaki Imaizumi 16 2 0 18 Oct 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness Fredrik Hellström G. Durisi 16 13 0 12 Oct 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI Fredrik Hellström G. Durisi 32 22 0 12 Oct 2022
Generalization Analysis on Learning with a Concurrent Verifier Masaaki Nishino Kengo Nakamura Norihito Yasuda 31 1 0 11 Oct 2022
SAM as an Optimal Relaxation of Bayes Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 29 32 0 04 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 51 20 0 03 Oct 2022
Semi-supervised Batch Learning From Logged Data Gholamali Aminian Armin Behnamnia R. Vega Laura Toni Chengchun Shi Hamid R. Rabiee Omar Rivasplata Miguel R. D. Rodrigues OffRL 21 0 0 15 Sep 2022
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics Masataro Asai 20 0 0 08 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 26 4 0 06 Sep 2022
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 21 18 0 01 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 8 15 0 01 Jul 2022
Optimal quasi-Bayesian reduced rank regression with incomplete response The Tien Mai Pierre Alquier 31 2 0 17 Jun 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 21 4 0 11 Jun 2022
On Margins and Generalisation for Voting Classifiers Felix Biggs Valentina Zantedeschi Benjamin Guedj 25 8 0 09 Jun 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 11 6 0 07 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees Haotian Ju Dongyue Li Hongyang R. Zhang 35 28 0 06 Jun 2022
Excess risk analysis for epistemic uncertainty with application to variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama UQCV 23 1 0 02 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 16 21 0 31 May 2022
A Confidence Machine for Sparse High-Order Interaction Model Diptesh Das Eugène Ndiaye Ichiro Takeuchi TPM 20 2 0 28 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 24 3 0 22 May 2022
Formal limitations of sample-wise information-theoretic generalization bounds Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan 19 2 0 13 May 2022
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking Luca Bortolussi Francesca Cairoli Ginevra Carbone Paolo Pulcini 29 1 0 11 May 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 19 2 0 26 Apr 2022
Chained Generalisation Bounds Eugenio Clerico Amitis Shidani George Deligiannidis Arnaud Doucet AI4CE FedML 17 13 0 02 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 45 17 0 23 Feb 2022
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 14 7 0 21 Feb 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 25 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
Generalization Bounds via Convex Analysis Gábor Lugosi Gergely Neu 13 29 0 10 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 29 5 0 23 Jan 2022
Risk bounds for aggregated shallow neural networks using Gaussian prior L. Tinsi A. Dalalyan BDL 12 7 0 21 Dec 2021
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss Matías Vera L. Rey Vega Pablo Piantanida 23 0 0 10 Dec 2021
Progress in Self-Certified Neural Networks Maria Perez-Ortiz Omar Rivasplata E. Parrado-Hernández Benjamin Guedj John Shawe-Taylor 11 13 0 15 Nov 2021
Conditionally Gaussian PAC-Bayes Eugenio Clerico George Deligiannidis Arnaud Doucet 29 10 0 22 Oct 2021
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 20 20 0 08 Jul 2021