Non-Vacuous Generalisation Bounds for Shallow Neural Networks. | 0 | 0.34 | 2022 |
MAGMA: inference and prediction using multi-task Gaussian processes with common mean | 0 | 0.34 | 2022 |
On Margins and Derandomisation in PAC-Bayes | 0 | 0.34 | 2022 |
Online K-Means Clustering | 0 | 0.34 | 2021 |
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly | 0 | 0.34 | 2021 |
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks | 0 | 0.34 | 2021 |
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses | 0 | 0.34 | 2021 |
Towards Control of Opinion Diversity by Introducing Zealots into a Polarised Social Group. | 0 | 0.34 | 2021 |
Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds | 0 | 0.34 | 2021 |
Forecasting Elections Results Via The Voter Model With Stubborn Nodes | 0 | 0.34 | 2021 |
PAC-Bayesian Bound for the Conditional Value at Risk | 0 | 0.34 | 2020 |
Kernel-Based Ensemble Learning In Python | 0 | 0.34 | 2020 |
PAC-Bayesian Contrastive Unsupervised Representation Learning | 0 | 0.34 | 2020 |
Perturbed Model Validation: A New Framework to Validate Model Relevance. | 0 | 0.34 | 2019 |
Non-linear aggregation of filters to improve image denoising. | 0 | 0.34 | 2019 |
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria. | 0 | 0.34 | 2019 |
A Primer on PAC-Bayesian Learning. | 1 | 0.36 | 2019 |
PAC-Bayes Un-Expected Bernstein Inequality. | 0 | 0.34 | 2019 |
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. | 0 | 0.34 | 2019 |
Revisiting clustering as matrix factorisation on the Stiefel manifold. | 0 | 0.34 | 2019 |
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles. | 0 | 0.34 | 2018 |
Simpler PAC-Bayesian bounds for hostile data. | 3 | 0.41 | 2018 |
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. | 0 | 0.34 | 2018 |
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. | 2 | 0.36 | 2017 |
COBRA: A combined regression strategy. | 3 | 0.60 | 2016 |