Robert J. Webber

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Math. Data Sci.

Publications

Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
XTrace: Making the Most of Every Sample in Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Christopher E. Miles, Robert J. Webber
Dynamical mixture modeling with fast, automatic determination of Markov chains. CoRR (2024)
David Aristoff, M. Johnson, G. Simpson, Robert J. Webber
The fast committor machine: Interpretable prediction with kernels. CoRR (2024)
Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
XTrace: Making the most of every sample in stochastic trace estimation. CoRR (2023)
Jonathan Weare, Robert J. Webber
Randomly sparsified Richardson iteration is really fast. CoRR (2023)
Mateo Díaz, Ethan N. Epperly, Zachary Frangella, Joel A. Tropp, Robert J. Webber
Robust, randomized preconditioning for kernel ridge regression. CoRR (2023)
Robert J. Webber, Matthias Morzfeld
Localized covariance estimation: A Bayesian perspective. CoRR (2023)
Joel A. Tropp, Robert J. Webber
Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications. CoRR (2023)
Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations. CoRR (2022)
Huan Zhang, Robert J. Webber, Michael Lindsey, Timothy C. Berkelbach, Jonathan Weare
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables. CoRR (2022)
Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare
Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification. SIAM J. Sci. Comput. 44 (5) (2022)
David Aristoff, J. Copperman, Gideon Simpson, Robert J. Webber, Daniel M. Zuckerman
Weighted ensemble: Recent mathematical developments. CoRR (2022)
Jeremie Coullon, Robert J. Webber
Ensemble sampler for infinite-dimensional inverse problems. Stat. Comput. 31 (3) (2021)
Robert J. Webber, Michael Lindsey
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo. CoRR (2021)
Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare
Approximating matrix eigenvalues by randomized subspace iteration. CoRR (2021)
Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
Error Bounds for Dynamical Spectral Estimation. SIAM J. Math. Data Sci. 3 (1) (2021)
Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
Error bounds for dynamical spectral estimation. CoRR (2020)
Robert J. Webber, David Aristoff, Gideon Simpson
A splitting method to reduce MCMC variance. CoRR (2020)