Lingjiong Zhu

Dikutip oleh

	Semua	Sejak 2020
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indeks-h	25	23
indeks-i10	48	37

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Mert GürbüzbalabanRutgers UniversityEmail yang diverifikasi di business.rutgers.edu
Xuefeng GaoThe Chinese University of Hong KongEmail yang diverifikasi di se.cuhk.edu.hk
Umut SimsekliINRIA - École Normale SupérieureEmail yang diverifikasi di inria.fr
Zhenyu CuiAssociate Professor, School of Business, Stevens Institute of TechnologyEmail yang diverifikasi di stevens.edu
Yuanhan HuRutgers UniversityEmail yang diverifikasi di rutgers.edu
Yuqian XuAssociate Professor of Operations Management, Kenan-Flagler Business School, UNC-Chapel HillEmail yang diverifikasi di kenan-flagler.unc.edu
behzad mehrdadBritish PetroleumEmail yang diverifikasi di cims.nyu.edu
Murat A. ErdogduUniversity of TorontoEmail yang diverifikasi di stanford.edu
Chihoon LeeStevens Institute of TechnologyEmail yang diverifikasi di stevens.edu
Alexander CamutoDPhil, University of Oxford, Alan Turing InstituteEmail yang diverifikasi di st-hughs.ox.ac.uk
Angelo MeleJohns Hopkins University - Carey Business SchoolEmail yang diverifikasi di jhu.edu
Arash FahimFlorida State UniversityEmail yang diverifikasi di math.fsu.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindEmail yang diverifikasi di stats.ox.ac.uk
Yijie PengPeking UniversityEmail yang diverifikasi di pku.edu.cn
Michael C. FuUniversity of MarylandEmail yang diverifikasi di umd.edu
Yanchu LiuLingnan (University) College, Sun Yat-sen UniversityEmail yang diverifikasi di mail.sysu.edu.cn
BUGRA CANRutgers UniversityEmail yang diverifikasi di scarletmail.rutgers.edu
Hongjian WangCarnegie Mellon UniversityEmail yang diverifikasi di cmu.edu
Michael PinedoJulius Schlesinger Professor of Operations Management, Stern School of Business, New York UniversityEmail yang diverifikasi di stern.nyu.edu
Steve TaylorAsso. Tch. Professor of Finance, Stevens Institute of TechnologyEmail yang diverifikasi di stevens.edu

Ikuti

Lingjiong Zhu

Florida State University

Email yang diverifikasi di fsu.edu


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
The heavy-tail phenomenon in SGD M Gurbuzbalaban, U Simsekli, L Zhu International Conference on Machine Learning, 3964-3975, 2021	142	2021
Central limit theorem for nonlinear Hawkes processes L Zhu Journal of Applied Probability 50 (3), 760-771, 2013	117	2013
Limit theorems for a Cox-Ingersoll-Ross process with Hawkes jumps L Zhu Journal of Applied Probability 51 (3), 699-712, 2014	88	2014
Large deviations for Markovian nonlinear Hawkes processes L Zhu	87	2015
Functional central limit theorems for stationary Hawkes processes and application to infinite-server queues X Gao, L Zhu Queueing Systems 90, 161-206, 2018	86	2018
Global convergence of stochastic gradient hamiltonian monte carlo for nonconvex stochastic optimization: Nonasymptotic performance bounds and momentum-based acceleration X Gao, M Gürbüzbalaban, L Zhu Operations Research 70 (5), 2931-2947, 2022	85	2022
Ruin probabilities for risk processes with non-stationary arrivals and subexponential claims L Zhu Insurance: Mathematics and Economics 53 (3), 544-550, 2013	82	2013
Nonlinear Hawkes processes L Zhu New York University, 2013	67	2013
Limit theorems for marked Hawkes processes with application to a risk model D Karabash, L Zhu Stochastic Models 31 (3), 433-451, 2015	62	2015
Fractional underdamped langevin dynamics: Retargeting sgd with momentum under heavy-tailed gradient noise U Simsekli, L Zhu, YW Teh, M Gurbuzbalaban International conference on machine learning, 8970-8980, 2020	56	2020
Process-level large deviations for nonlinear Hawkes point processes L Zhu Annales de l'IHP Probabilités et statistiques 50 (3), 845-871, 2014	54	2014
Accelerated linear convergence of stochastic momentum methods in wasserstein distances B Can, M Gurbuzbalaban, L Zhu International Conference on Machine Learning, 891-901, 2019	50	2019
Convergence rates of stochastic gradient descent under infinite noise variance H Wang, M Gurbuzbalaban, L Zhu, U Simsekli, MA Erdogdu Advances in Neural Information Processing Systems 34, 18866-18877, 2021	48	2021
Approximate variational estimation for a model of network formation A Mele, L Zhu Review of Economics and Statistics 105 (1), 113-124, 2023	47*	2023
Moderate deviations for Hawkes processes L Zhu Statistics & Probability Letters 83 (3), 885-890, 2013	46	2013
Large deviations and applications for Markovian Hawkes processes with a large initial intensity X Gao, L Zhu	41	2018
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization X Gao, M Gurbuzbalaban, L Zhu Advances in Neural Information Processing Systems 33, 2020	39*	2020
Transform analysis for Hawkes processes with applications in dark pool trading X Gao, X Zhou, L Zhu Quantitative Finance 18 (2), 265-282, 2018	36	2018
Limit theorems for Markovian Hawkes processes with a large initial intensity X Gao, L Zhu Stochastic Processes and their Applications 128 (11), 3807-3839, 2018	35	2018
Short maturity Asian options in local volatility models D Pirjol, L Zhu SIAM Journal on Financial Mathematics 7 (1), 947-992, 2016	34	2016

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