Michael Lindsey

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Gaussian Process

Top Venues

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Yuehaw Khoo, Michael Lindsey
Scalable semidefinite programming approach to variational embedding for quantum many-body problems. J. Comput. Phys. 510 (2024)
Mark Fornace, Michael Lindsey
Column and row subset selection using nuclear scores: algorithms and theory for Nyström approximation, CUR decomposition, and graph Laplacian reduction. CoRR (2024)
Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR (2024)
P. Michael Kielstra, Michael Lindsey
Gaussian process regression with log-linear scaling for common non-stationary kernels. CoRR (2024)
Jielun Chen, Michael Lindsey
Direct interpolative construction of the discrete Fourier transform as a matrix product operator. CoRR (2024)
Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization. CoRR (2024)
Yian Chen, Jeremy Hoskins, Yuehaw Khoo, Michael Lindsey
Committor functions via tensor networks. J. Comput. Phys. 472 (2023)
Michael Lindsey
Fast randomized entropically regularized semidefinite programming. CoRR (2023)
Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden
Multimarginal generative modeling with stochastic interpolants. CoRR (2023)
Yuehaw Khoo, Michael Lindsey, Hongli Zhao
Tensorizing flows: a tool for variational inference. CoRR (2023)
Michael Lindsey
Multiscale interpolative construction of quantized tensor trains. CoRR (2023)
Michael Lindsey, Jonathan Weare, Anna Zhang
Ensemble Markov Chain Monte Carlo with Teleporting Walkers. SIAM/ASA J. Uncertain. Quantification 10 (3) (2022)
Dong An, Lin Lin, Michael Lindsey
Towards sharp error analysis of extended Lagrangian molecular dynamics. J. Comput. Phys. 466 (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)
Yian Chen, Jeremy Hoskins, Yuehaw Khoo, Michael Lindsey
Committor functions via tensor networks. CoRR (2021)
Robert J. Webber, Michael Lindsey
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo. CoRR (2021)
Michael Lindsey, Jonathan Weare, Anna Zhang
Ensemble Markov chain Monte Carlo with teleporting walkers. CoRR (2021)
Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying
Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. SIAM J. Sci. Comput. 42 (6) (2020)
Yian Chen, Yuehaw Khoo, Michael Lindsey
Multiscale semidefinite programming approach to positioning problems with pairwise structure. CoRR (2020)
Dong An, Lin Lin, Michael Lindsey
Towards sharp error analysis of extended Lagrangian molecular dynamics. CoRR (2020)
Lin Lin, Michael Lindsey
Variational embedding for quantum many-body problems. CoRR (2019)
Michael Lindsey, Yanir A. Rubinstein
Optimal Transport via a Monge-Ampère Optimization Problem. SIAM J. Math. Anal. 49 (4) (2017)