Lin F. Yang (杨林)

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	All	Since 2016
Citations	805	731
h-index	16	15
i10-index	22	21

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20122013201420152016201720182019202020214 9 22 31 32 54 79 157 381 21

Co-authors

Vladimir BravermanAssociate Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Mengdi WangAssociate Professor at Center for Statistics and Machine Learning, Electrical Engineering, PrincetonVerified email at princeton.edu
Tuo ZhaoAssistant Professor, Georgia TechVerified email at gatech.edu
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Mark NeyrinckUniversity of the Basque Country, Bilbao, SpainVerified email at ehu.eus
Robert KrauthgamerWeizmann Institute of ScienceVerified email at weizmann.ac.il
David WoodruffCarnegie Mellon UniversityVerified email at cs.cmu.edu
A. S. SzalayBlooomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Miguel Angel Aragon CalvoUNAMVerified email at astro.unam.mx
Joe SilkIAP & JHUVerified email at iap.fr
Zaoxing LiuAssistant Professor, Boston UniversityVerified email at bu.edu
Zhehui ChenPh.D. student of ISyE, Georgia TechVerified email at gatech.edu
Tamás BudaváriDept. of Applied Mathematics and Statistics, The Johns Hopkins UniversityVerified email at jhu.edu
Nikita IvkinAmazon.comVerified email at amazon.com
Zhaoran WangAssistant Professor at Northwestern UniversityVerified email at northwestern.edu
Matey NeykovAssistant Professor, Department of Statistics & Data Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Ethan X. FangPennsyvania State UniversityVerified email at psu.edu
Jarvis HauptAssociate Professor of Electrical and Computer Engineering, University of MinnesotaVerified email at umn.edu
Xingguo LiPrinceton UniversityVerified email at cs.princeton.edu
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu

Lin F. Yang (杨林)

Assistant Professor, Department of Electrical and Computer Engineering @ UCLA

Verified email at ee.ucla.edu - Homepage

Machine Learning Reinforcement Learning Algorithm Theoretic Computer Science Astrophysics


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The hierarchical nature of the spin alignment of dark matter haloes in filaments MA Aragon-Calvo, LF Yang Monthly Notices of the Royal Astronomical Society: Letters 440 (1), L46-L50, 2014	79	2014
Near-optimal time and sample complexities for solving Markov decision processes with a generative model A Sidford, M Wang, X Wu, L Yang, Y Ye Advances in Neural Information Processing Systems, 5186-5196, 2018	74*	2018
Sample-optimal parametric q-learning using linearly additive features LF Yang, M Wang arXiv preprint arXiv:1902.04779, 2019	60*	2019
Reinforcement learning in feature space: Matrix bandit, kernels, and regret bound L Yang, M Wang International Conference on Machine Learning, 10746-10756, 2020	58	2020
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? SS Du, SM Kakade, R Wang, LF Yang arXiv preprint arXiv:1910.03016, 2019	42	2019
Warmth elevating the depths: shallower voids with warm dark matter LF Yang, MC Neyrinck, MA Aragón-Calvo, B Falck, J Silk Monthly Notices of the Royal Astronomical Society 451 (4), 3606-3614, 2015	37	2015
Model-based reinforcement learning with a generative model is minimax optimal A Agarwal, S Kakade, LF Yang Conference on Learning Theory, 67-83, 2020	35*	2020
Misspecified nonconvex statistical optimization for sparse phase retrieval Z Yang, LF Yang, EX Fang, T Zhao, Z Wang, M Neykov Mathematical Programming 176 (1-2), 545-571, 2019	29*	2019
Ringing the initial Universe: the response of overdensity and transformed-density power spectra to initial spikes MC Neyrinck, LF Yang Monthly Notices of the Royal Astronomical Society 433 (2), 1628-1633, 2013	29	2013
Streaming space complexity of nearly all functions of one variable on frequency vectors V Braverman, SR Chestnut, DP Woodruff, LF Yang Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2016	25	2016
Clustering high dimensional dynamic data streams V Braverman, G Frahling, H Lang, C Sohler, LF Yang arXiv preprint arXiv:1706.03887, 2017	22	2017
New time-space upperbounds for directed reachability in high-genus and h-minor-free graphs D Chakraborty, A Pavan, R Tewari, NV Vinodchandran, LF Yang 34th International Conference on Foundation of Software Technology and …, 2014	22	2014
The Optical Counterpart of NGC 1313 X-1 L Yang, H Feng, P Kaaret The Astrophysical Journal 733 (2), 118, 2011	22	2011
Variance reduction methods for sublinear reinforcement learning S Kakade, M Wang, LF Yang arXiv preprint arXiv:1802.09184, 2018	21	2018
Model-Based Reinforcement Learning with Value-Targeted Regression A Ayoub, Z Jia, C Szepesvari, M Wang, LF Yang arXiv preprint arXiv:2006.01107, 2020	18	2020
Streaming symmetric norms via measure concentration J Błasiok, V Braverman, SR Chestnut, R Krauthgamer, LF Yang Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	18*	2017
Feature-based q-learning for two-player stochastic games Z Jia, LF Yang, M Wang arXiv preprint arXiv:1906.00423, 2019	14	2019
Streaming algorithms for halo finders Z Liu, N Ivkin, L Yang, M Neyrinck, G Lemson, A Szalay, V Braverman, ... 2015 IEEE 11th International Conference on e-Science, 342-351, 2015	14	2015
Provably Efficient Reinforcement Learning with General Value Function Approximation R Wang, R Salakhutdinov, LF Yang arXiv preprint arXiv:2005.10804, 2020	13	2020
Sketches for matrix norms: Faster, smaller and more general V Braverman, SR Chestnut, R Krauthgamer, LF Yang arXiv preprint arXiv:1609.05885, 2016	13*	2016

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