Federated Learning with Nonvacuous Generalisation Bounds
Fuente:
arXiv
Saved in:
| Main Authors: | Jobic, Pierre, Haddouche, Maxime, Guedj, Benjamin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024)
by: Viallard, Paul, et al.
Published: (2024)
A PAC-Bayesian Link Between Generalisation and Flat Minima
by: Haddouche, Maxime, et al.
Published: (2024)
by: Haddouche, Maxime, et al.
Published: (2024)
Online (Non-)Convex Learning via Tempered Optimism
by: Haddouche, Maxime, et al.
Published: (2023)
by: Haddouche, Maxime, et al.
Published: (2023)
Generalization Bounds for Markov Algorithms through Entropy Flow Computations
by: Dupuis, Benjamin, et al.
Published: (2025)
by: Dupuis, Benjamin, et al.
Published: (2025)
Sequential Off-Policy Learning with Logarithmic Smoothing
by: Haddouche, Maxime, et al.
Published: (2025)
by: Haddouche, Maxime, et al.
Published: (2025)
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
by: Dupuis, Benjamin, et al.
Published: (2025)
by: Dupuis, Benjamin, et al.
Published: (2025)
A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning
by: Nguyen, Thien V., et al.
Published: (2026)
by: Nguyen, Thien V., et al.
Published: (2026)
Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Generalisation under gradient descent via deterministic PAC-Bayes
by: Clerico, Eugenio, et al.
Published: (2022)
by: Clerico, Eugenio, et al.
Published: (2022)
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?
by: Rouchouse, Damien, et al.
Published: (2025)
by: Rouchouse, Damien, et al.
Published: (2025)
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
by: Adams, Reuben, et al.
Published: (2022)
by: Adams, Reuben, et al.
Published: (2022)
Online Decision-Focused Learning
by: Capitaine, Aymeric, et al.
Published: (2025)
by: Capitaine, Aymeric, et al.
Published: (2025)
Learning via Surrogate PAC-Bayes
by: Picard-Weibel, Antoine, et al.
Published: (2024)
by: Picard-Weibel, Antoine, et al.
Published: (2024)
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Predicting Electricity Consumption with Random Walks on Gaussian Processes
by: Hashimoto-Cullen, Chloé, et al.
Published: (2024)
by: Hashimoto-Cullen, Chloé, et al.
Published: (2024)
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks
by: Kilian, Valentin, et al.
Published: (2025)
by: Kilian, Valentin, et al.
Published: (2025)
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)
by: Weisser, Dominic, et al.
Published: (2026)
Change of measure through the Legendre transform
by: Picard-Weibel, Antoine, et al.
Published: (2022)
by: Picard-Weibel, Antoine, et al.
Published: (2022)
RestoreAI -- Pattern-based Risk Estimation Of Remaining Explosives
by: Kischelewski, Björn, et al.
Published: (2025)
by: Kischelewski, Björn, et al.
Published: (2025)
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
by: Mildner, Terje, et al.
Published: (2025)
by: Mildner, Terje, et al.
Published: (2025)
AI for Explosive Ordnance Detection in Clearance Operations: The State of Research
by: Kischelewski, Björn, et al.
Published: (2024)
by: Kischelewski, Björn, et al.
Published: (2024)
Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
by: Baros, Boris, et al.
Published: (2025)
by: Baros, Boris, et al.
Published: (2025)
Closed-form Filtering for Non-linear Systems
by: Cantelobre, Théophile, et al.
Published: (2024)
by: Cantelobre, Théophile, et al.
Published: (2024)
Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning
by: Mensah, Samuel Ofosu, et al.
Published: (2025)
by: Mensah, Samuel Ofosu, et al.
Published: (2025)
How good is PAC-Bayes at explaining generalisation?
by: Picard-Weibel, Antoine, et al.
Published: (2025)
by: Picard-Weibel, Antoine, et al.
Published: (2025)
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
by: Kim, Taehoon, et al.
Published: (2025)
by: Kim, Taehoon, et al.
Published: (2025)
On Rank-Dependent Generalisation Error Bounds for Transformers
by: Truong, Lan V.
Published: (2024)
by: Truong, Lan V.
Published: (2024)
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
by: Ghugare, Raj, et al.
Published: (2024)
by: Ghugare, Raj, et al.
Published: (2024)
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
by: Eringis, Deividas, et al.
Published: (2023)
by: Eringis, Deividas, et al.
Published: (2023)
Symmetry and Generalisation in Machine Learning
by: Elesedy, Hayder
Published: (2025)
by: Elesedy, Hayder
Published: (2025)
Domain Generalisation via Imprecise Learning
by: Singh, Anurag, et al.
Published: (2024)
by: Singh, Anurag, et al.
Published: (2024)
Randomized Confidence Bounds for Stochastic Partial Monitoring
by: Heuillet, Maxime, et al.
Published: (2024)
by: Heuillet, Maxime, et al.
Published: (2024)
Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL
by: Avila, Nicolas M Cuadrado, et al.
Published: (2024)
by: Avila, Nicolas M Cuadrado, et al.
Published: (2024)
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
by: Li, Yipeng, et al.
Published: (2024)
by: Li, Yipeng, et al.
Published: (2024)
Quantifying Generalisation in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2025)
by: Gavenski, Nathan, et al.
Published: (2025)
Do Generalisation Results Generalise?
by: Boglioni, Matteo, et al.
Published: (2025)
by: Boglioni, Matteo, et al.
Published: (2025)
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
by: Weissenbacher, Matthias, et al.
Published: (2024)
by: Weissenbacher, Matthias, et al.
Published: (2024)
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
by: Jetwiriyanon, Jittarin, et al.
Published: (2025)
by: Jetwiriyanon, Jittarin, et al.
Published: (2025)
Improved Generalization Bounds for Communication Efficient Federated Learning
by: Gholami, Peyman, et al.
Published: (2024)
by: Gholami, Peyman, et al.
Published: (2024)
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)
by: Barnes, L. P., et al.
Published: (2022)
Similar Items
-
Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024) -
A PAC-Bayesian Link Between Generalisation and Flat Minima
by: Haddouche, Maxime, et al.
Published: (2024) -
Online (Non-)Convex Learning via Tempered Optimism
by: Haddouche, Maxime, et al.
Published: (2023) -
Generalization Bounds for Markov Algorithms through Entropy Flow Computations
by: Dupuis, Benjamin, et al.
Published: (2025) -
Sequential Off-Policy Learning with Logarithmic Smoothing
by: Haddouche, Maxime, et al.
Published: (2025)