( en | de | ru )

 

Disambiguation of "Hodgkinson, Liam"

Author of the publication

copydeleteadd this publication to your clipboard
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes.

, , , and . CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Luqman Hodgkinson

Liam Boodhoo

Katerine Liampe

Liam Childs

Liam McNamara

 

Other publications of authors with the same name

Generalization Properties of Stochastic Optimizers via Trajectory Analysis., , , and . CoRR, (2021)The Interpolating Information Criterion for Overparameterized Models., , , , and . CoRR, (2023)Compressing Deep ODE-Nets using Basis Function Expansions., , , and . CoRR, (2021)Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8774-8795. PMLR, (2022)Multiplicative Noise and Heavy Tails in Stochastic Optimization., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4262-4274. PMLR, (2021)Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13085-13117. PMLR, (2023)A Heavy-Tailed Algebra for Probabilistic Programming., , and . CoRR, (2023)Generalization Guarantees via Algorithm-dependent Rademacher Complexity., , , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 4863-4880. PMLR, (2023)When are ensembles really effective?, , , , and . CoRR, (2023)Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes., , , and . CoRR, (2022)