User-friendly introduction to PAC-Bayes bounds

21 October 2021

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

50 / 159 papers shown

Title
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 44 0 0 25 Apr 2025
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models Tien Mai FedML 29 0 0 14 Apr 2025
Optimal sparse phase retrieval via a quasi-Bayesian approach Tien Mai 32 0 0 13 Apr 2025
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel Eugenio Clerico Roman Moscoviz Benjamin Guedj 59 0 0 11 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 53 0 0 07 Mar 2025
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability Lijia Yu Yibo Miao Yifan Zhu Xiao-Shan Gao Lijun Zhang 48 0 0 06 Mar 2025
Deep Learning is Not So Mysterious or Different Andrew Gordon Wilson 38 2 0 03 Mar 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 85 1 0 21 Feb 2025
Understanding the Generalization Error of Markov algorithms through Poissonization Benjamin Dupuis Maxime Haddouche George Deligiannidis Umut Simsekli 42 0 0 11 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 48 0 0 10 Feb 2025
Identifying Information from Observations with Uncertainty and Novelty D. Prijatelj Timothy J. Ireland Walter J. Scheirer 52 0 0 16 Jan 2025
The Generalization Error of Machine Learning Algorithms S. Perlaza Xinying Zou 69 5 0 18 Nov 2024
Variational Bayes Portfolio Construction Nicolas Nguyen James Ridgway Claire Vernade 29 0 0 09 Nov 2024
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds Pierre Alquier William Kengne 34 0 0 29 Oct 2024
High-dimensional prediction for count response via sparse exponential weights The Tien Mai 27 0 0 20 Oct 2024
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 28 0 0 15 Oct 2024
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 23 0 0 14 Oct 2024
Online-to-PAC generalization bounds under graph-mixing dependencies Baptiste Abeles Eugenio Clerico Gergely Neu 16 0 0 11 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 29 0 0 10 Oct 2024
A Generalization Result for Convergence in Learning-to-Optimize Michael Sucker Peter Ochs 26 0 0 10 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 21 1 0 08 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 41 1 0 02 Oct 2024
Generalization Error of the Tilted Empirical Risk Gholamali Aminian Amir R. Asadi Tian Li Ahmad Beirami G. Reinert Samuel N. Cohen 21 1 0 28 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning Xinrui Wang Chuanxing Geng Wenhai Wan Shao-yuan Li Songcan Chen CLL 37 2 0 28 Sep 2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction The Tien Mai 28 3 0 03 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy V. Deshmukh 60 14 0 31 Aug 2024
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss The Tien Mai 19 0 0 16 Aug 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 28 4 0 19 Jul 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning Lior Friedman Ron Meir 70 0 0 13 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors Zongbin Wang Bin Pan Shiyu Shen Tianyang Shi Zhenwei Shi AI4CE 26 0 0 09 Jun 2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 41 1 0 05 Jun 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 55 3 0 05 Jun 2024
Dimension-free uniform concentration bound for logistic regression Shogo H. Nakakita 30 0 0 28 May 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation Yuting Ma Lechao Cheng Yaxiong Wang Zhun Zhong Xiaohua Xu Meng Wang FedML 32 4 0 27 May 2024
Generalization of Hamiltonian algorithms Andreas Maurer 16 1 0 23 May 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi Imad Aouali Pierre Alquier Nicolas Chopin OffRL 41 1 0 23 May 2024
A finite-sample generalization bound for stable LPV systems Daniel Racz Martin Gonzalez M. Petreczky András A. Benczúr Bálint Daróczy 24 0 0 16 May 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning Jaejun Lee Minsung Hwang J. Whang 31 1 0 10 May 2024
Data-driven Error Estimation: Upper Bounding Multiple Errors without Class Complexity as Input Sanath Kumar Krishnamurthy Susan Athey Emma Brunskill Susan Athey 23 0 0 07 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning The Tien Mai UQCV BDL 44 3 0 02 May 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 40 2 0 26 Apr 2024
A note on generalization bounds for losses with finite moments Borja Rodríguez Gálvez Omar Rivasplata Ragnar Thobaben Mikael Skoglund 26 0 0 25 Mar 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 46 1 0 19 Mar 2024
On Generalization Bounds for Deep Compound Gaussian Neural Networks Carter Lyons R. Raj Margaret Cheney AI4CE 24 2 0 20 Feb 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard Rémi Emonet Amaury Habrard Emilie Morvant Valentina Zantedeschi 33 3 0 19 Feb 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 27 6 0 14 Feb 2024
Better-than-KL PAC-Bayes Bounds Ilja Kuzborskij Kwang-Sung Jun Yulian Wu Kyoungseok Jang Francesco Orabona FedML 30 2 0 14 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 35 3 0 13 Feb 2024
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers G. Buzaglo I. Harel Mor Shpigel Nacson Alon Brutzkus Nathan Srebro Daniel Soudry 54 3 0 09 Feb 2024