Chi Jin

Citeret af

	Alle	Siden 2020
Henvisninger	12061	10305
h-index	45	44
i10-indeks	61	61

2700

1350

675

2025

2016201720182019202020212022202320242025108 274 546 775 1165 1709 2129 2386 2648 264

Offentlig adgang

Se alle

31 artikler

0 artikler

tilgængelige

ikke tilgængelige

Baseret på krav i forbindelse med finansiering

Medforfattere

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerificeret mail på cs.berkeley.edu
Praneeth NetrapalliGoogle ResearchVerificeret mail på google.com
Rong GeDuke UniversityVerificeret mail på cs.duke.edu
Sham M KakadeHarvard UniversityVerificeret mail på seas.harvard.edu
Aaron SidfordStanford UniversityVerificeret mail på stanford.edu
Prateek JainGoogle Research IndiaVerificeret mail på google.com
Yang YuanTsinghua UniversityVerificeret mail på tsinghua.edu.cn
Zeyuan Allen-ZhuMeta AI / FAIR LabsVerificeret mail på csail.mit.edu
Sebastien BubeckOpenAIVerificeret mail på openai.com
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerificeret mail på cs.washington.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerificeret mail på princeton.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstVerificeret mail på cs.umass.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerificeret mail på cmu.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyVerificeret mail på technion.ac.il
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerificeret mail på princeton.edu
Yuchen ZhangResearch Scientist at ByteDanceVerificeret mail på microsoft.com
Sivaraman BalakrishnanCarnegie Mellon UniversityVerificeret mail på stat.cmu.edu

Følg

Chi Jin

Assistant Professor, Princeton University

Verificeret mail på princeton.edu - Startside

Machine Learning Optimization


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1304	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	1033	2017
Is Q-learning provably efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan Advances in neural information processing systems 31, 2018	1022	2018
Provably efficient reinforcement learning with linear function approximation C Jin, Z Yang, Z Wang, MI Jordan Conference on learning theory, 2137-2143, 2020	887	2020
On gradient descent ascent for nonconvex-concave minimax problems T Lin, C Jin, M Jordan International Conference on Machine Learning, 6083-6093, 2020	620	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	532	2017
What is local optimality in nonconvex-nonconcave minimax optimization? C Jin, P Netrapalli, M Jordan International conference on machine learning, 4880-4889, 2020	480*	2020
Provably efficient exploration in policy optimization Q Cai, Z Yang, C Jin, Z Wang International Conference on Machine Learning, 1283-1294, 2020	328	2020
Near-optimal algorithms for minimax optimization T Lin, C Jin, MI Jordan Conference on Learning Theory, 2738-2779, 2020	314	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	313	2017
Accelerated gradient descent escapes saddle points faster than gradient descent C Jin, P Netrapalli, MI Jordan Conference On Learning Theory, 1042-1085, 2018	296	2018
Reward-free exploration for reinforcement learning C Jin, A Krishnamurthy, M Simchowitz, T Yu International Conference on Machine Learning, 4870-4879, 2020	271	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	267	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	260	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	250*	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	238	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	201	2018
Provable self-play algorithms for competitive reinforcement learning Y Bai, C Jin International conference on machine learning, 551-560, 2020	192	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	191	2016

Systemet kan ikke foretage handlingen nu. Prøv igen senere.

Artikler 1–20

Henvisninger pr. år

Dublerede henvisninger

Flettede henvisninger

Tilføj medforfattereMedforfattere

Følg

Citeret af

Medforfattere