A splitting method to reduce MCMC variance. - Robert J. Webber; David Aristoff; Gideon Simpson (CoRR, 2020)

Approximating matrix eigenvalues by randomized subspace iteration. - Samuel M. Greene; Robert J. Webber; Timothy C. Berkelbach; Jonathan Weare (CoRR, 2021)

Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo. - Robert J. Webber; Michael Lindsey (CoRR, 2021)

Ensemble sampler for infinite-dimensional inverse problems. - Jeremie Coullon; Robert J. Webber (Stat. Comput., 2021)

Error Bounds for Dynamical Spectral Estimation. - Robert J. Webber; Erik H. Thiede; Douglas Dow; Aaron R. Dinner; Jonathan Weare (SIAM J. Math. Data Sci., 2021)

Weighted ensemble: Recent mathematical developments. - David Aristoff; J. Copperman; Gideon Simpson; Robert J. Webber; Daniel M. Zuckerman (CoRR, 2022)

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations. - Yifan Chen; Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (CoRR, 2022)

Understanding and eliminating spurious modes in variational Monte Carlo using collective variables. - Huan Zhang; Robert J. Webber; Michael Lindsey; Timothy C. Berkelbach; Jonathan Weare (CoRR, 2022)

Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification. - Samuel M. Greene; Robert J. Webber; Timothy C. Berkelbach; Jonathan Weare (SIAM J. Sci. Comput., 2022)

Localized covariance estimation: A Bayesian perspective. - Robert J. Webber; Matthias Morzfeld (CoRR, 2023)

Robust, randomized preconditioning for kernel ridge regression. - Mateo Díaz; Ethan N. Epperly; Zachary Frangella; Joel A. Tropp; Robert J. Webber (CoRR, 2023)

Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications. - Joel A. Tropp; Robert J. Webber (CoRR, 2023)

Randomly sparsified Richardson iteration is really fast. - Jonathan Weare; Robert J. Webber (CoRR, 2023)

The fast committor machine: Interpretable prediction with kernels. - David Aristoff; M. Johnson; G. Simpson; Robert J. Webber (CoRR, 2024)

Dynamical mixture modeling with fast, automatic determination of Markov chains. - Christopher E. Miles; Robert J. Webber (CoRR, 2024)

Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky. - Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (CoRR, 2024)

Randomized Kaczmarz with tail averaging. - Ethan N. Epperly; Gil Goldshlager; Robert J. Webber (CoRR, 2024)

XTrace: Making the Most of Every Sample in Stochastic Trace Estimation. - Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (SIAM J. Matrix Anal. Appl., 2024)

Keep the beat going: Automatic drum transcription with momentum. - Alisha L. Foster; Robert J. Webber (CoRR, 2025)