Sifan Liu

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Edgar DobribanStatistics & Computer Science, University of PennsylvaniaVerified email at upenn.edu
Art OwenProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
Jonathan LacotteStanford UniversityVerified email at stanford.edu
Mert PilanciStanford UniversityVerified email at stanford.edu
Shuxiao ChenUniversity of PennsylvaniaVerified email at wharton.upenn.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Fan YangTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Julia A. PalaciosStanford UniversityVerified email at stanford.edu
Lorenzo CappelloStanford UniversityVerified email at stanford.edu
Jaehee KimAssistant Professor at Cornell University, Department of Computational BiologyVerified email at cornell.edu

Sifan Liu

Stanford University

Verified email at stanford.edu - Homepage


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Asymptotics for sketching in least squares regression E Dobriban, S Liu Advances in Neural Information Processing Systems 32, 3675-3685, 2019	64*	2019
Ridge regression: Structure, cross-validation, and sketching S Liu, E Dobriban Eighth International Conference on Learning Representations (ICLR 2020), 2019	58	2019
Global and individualized community detection in inhomogeneous multilayer networks S Chen, S Liu, Z Ma The Annals of Statistics 50 (5), 2664-2693, 2022	35	2022
How to reduce dimension with PCA and random projections? F Yang, S Liu, E Dobriban, DP Woodruff IEEE Transactions on Information Theory 67 (12), 8154-8189, 2021	32	2021
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform J Lacotte, S Liu, E Dobriban, M Pilanci Advances in Neural Information Processing Systems 33, 2020	26*	2020
Quasi-Monte Carlo Quasi-Newton in Variational Bayes S Liu, AB Owen Journal of Machine Learning Research 22 (243), 1-23, 2021	16*	2021
Preintegration via Active Subspace S Liu, AB Owen SIAM Journal on Numerical Analysis 61 (2), 495-514, 2023	8	2023
Statistical challenges in tracking the evolution of SARS-CoV-2 L Cappello, J Kim, S Liu, JA Palacios Statistical Science 37 (2), 162-182, 2022	5	2022
Black-box Selective Inference via Bootstrapping S Liu, J Markovic, J Taylor arXiv preprint arXiv:2203.14504, 2022	3	2022
Selective Inference with Distributed Data S Liu, S Panigrahi arXiv preprint arXiv:2301.06162, 2023	2	2023
Langevin Quasi-Monte Carlo S Liu Advances in Neural Information Processing Systems 36, 2024	1	2024
An Exact Sampler for Inference after Polyhedral Model Selection S Liu arXiv preprint arXiv:2308.10346, 2023	1	2023
Conditional Quasi-Monte Carlo with Constrained Active Subspaces S Liu arXiv preprint arXiv:2212.13232, 2022	1	2022

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