Provably Strict Generalisation Benefit for Invariance in Kernel Methods

4 June 2021

Papers citing "Provably Strict Generalisation Benefit for Invariance in Kernel Methods"

8 / 8 papers shown

Title
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 73 0 0 27 Feb 2025
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 35 22 0 27 May 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 44 0 0 26 Jan 2023
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 27 2 0 17 Oct 2022
Testing for Geometric Invariance and Equivariance Louis Christie J. Aston 23 2 0 30 May 2022
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 53 22 0 19 Oct 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018