Chi Jin

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	12226	10462
h-индекс	46	44
i10-индекс	61	61

2700

1350

675

2025

2016201720182019202020212022202320242025108 267 548 778 1154 1705 2154 2611 2372 462

Публичен достъп

Преглед на всички

30 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Praneeth NetrapalliGoogle ResearchПотвърден имейл адрес: google.com
Rong GeDuke UniversityПотвърден имейл адрес: cs.duke.edu
Sham M KakadeHarvard UniversityПотвърден имейл адрес: seas.harvard.edu
Aaron SidfordStanford UniversityПотвърден имейл адрес: stanford.edu
Prateek JainGoogle Research IndiaПотвърден имейл адрес: google.com
Yang YuanTsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
Zeyuan Allen-ZhuFAIR at Meta + Allen-Zhu ResearchПотвърден имейл адрес: csail.mit.edu
Sebastien BubeckOpenAIПотвърден имейл адрес: openai.com
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonПотвърден имейл адрес: cs.washington.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityПотвърден имейл адрес: princeton.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstПотвърден имейл адрес: cs.umass.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityПотвърден имейл адрес: cmu.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityПотвърден имейл адрес: cs.cmu.edu
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyПотвърден имейл адрес: technion.ac.il
Elad HazanProfessor at Princeton University and Director Google AI PrincetonПотвърден имейл адрес: princeton.edu
Yuchen ZhangResearch Scientist at ByteDanceПотвърден имейл адрес: microsoft.com
Sivaraman BalakrishnanCarnegie Mellon UniversityПотвърден имейл адрес: stat.cmu.edu

Следене

Chi Jin

Assistant Professor, Princeton University

Потвърден имейл адрес: princeton.edu - Начална страница

Machine Learning Optimization


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Escaping from saddle points—online stochastic gradient for tensor decomposition R Ge, F Huang, C Jin, Y Yuan Conference on learning theory, 797-842, 2015	1315	2015
How to escape saddle points efficiently C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan International conference on machine learning, 1724-1732, 2017	1044	2017
Is Q-learning provably efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan Advances in neural information processing systems 31, 2018	1028	2018
Provably efficient reinforcement learning with linear function approximation C Jin, Z Yang, Z Wang, MI Jordan Conference on learning theory, 2137-2143, 2020	890	2020
On gradient descent ascent for nonconvex-concave minimax problems T Lin, C Jin, M Jordan International conference on machine learning, 6083-6093, 2020	629	2020
No spurious local minima in nonconvex low rank problems: A unified geometric analysis R Ge, C Jin, Y Zheng International conference on machine learning, 1233-1242, 2017	539	2017
What is local optimality in nonconvex-nonconcave minimax optimization? C Jin, P Netrapalli, M Jordan International conference on machine learning, 4880-4889, 2020	486*	2020
Provably efficient exploration in policy optimization Q Cai, Z Yang, C Jin, Z Wang International Conference on Machine Learning, 1283-1294, 2020	324	2020
Near-optimal algorithms for minimax optimization T Lin, C Jin, MI Jordan Conference on learning theory, 2738-2779, 2020	321	2020
Gradient descent can take exponential time to escape saddle points SS Du, C Jin, JD Lee, MI Jordan, A Singh, B Poczos Advances in neural information processing systems 30, 2017	316	2017
Accelerated gradient descent escapes saddle points faster than gradient descent C Jin, P Netrapalli, MI Jordan Conference On Learning Theory, 1042-1085, 2018	299	2018
Reward-free exploration for reinforcement learning C Jin, A Krishnamurthy, M Simchowitz, T Yu International Conference on Machine Learning, 4870-4879, 2020	273	2020
Bellman eluder dimension: New rich classes of rl problems, and sample-efficient algorithms C Jin, Q Liu, S Miryoosefi Advances in neural information processing systems 34, 13406-13418, 2021	268	2021
On the theory of transfer learning: The importance of task diversity N Tripuraneni, M Jordan, C Jin Advances in neural information processing systems 33, 7852-7862, 2020	263	2020
On nonconvex optimization for machine learning: Gradients, stochasticity, and saddle points C Jin, P Netrapalli, R Ge, SM Kakade, MI Jordan Journal of the ACM (JACM) 68 (2), 1-29, 2021	253*	2021
Sampling can be faster than optimization YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan Proceedings of the National Academy of Sciences 116 (42), 20881-20885, 2019	244	2019
Provable meta-learning of linear representations N Tripuraneni, C Jin, M Jordan International conference on machine learning, 10434-10443, 2021	220	2021
Stochastic cubic regularization for fast nonconvex optimization N Tripuraneni, M Stern, C Jin, J Regier, MI Jordan Advances in neural information processing systems 31, 2018	204	2018
Provable self-play algorithms for competitive reinforcement learning Y Bai, C Jin International conference on machine learning, 551-560, 2020	190	2020
Local maxima in the likelihood of gaussian mixture models: Structural results and algorithmic consequences C Jin, Y Zhang, S Balakrishnan, MJ Wainwright, MI Jordan Advances in neural information processing systems 29, 2016	189	2016

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