Peter A. Whalley

Orcid: 0000-0002-8360-0807

According to our database1, Peter A. Whalley authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities.
CoRR, April, 2026

2025
Cluster Formation in Diffusive Systems.
CoRR, October, 2025

A Langevin sampling algorithm inspired by the Adam optimizer.
CoRR, April, 2025

Randomised Splitting Methods and Stochastic Gradient Descent.
CoRR, April, 2025

Random Reshuffling for Stochastic Gradient Langevin Dynamics.
CoRR, January, 2025

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Randomized time Riemannian Manifold Hamiltonian Monte Carlo.
Stat. Comput., February, 2024

Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics.
SIAM J. Numer. Anal., 2024

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations".
J. Mach. Learn. Res., 2024

Convergence of kinetic Langevin samplers for non-convex potentials.
CoRR, 2024

2023
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients.
CoRR, 2023

Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators.
CoRR, 2023


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