Chicheng Zhang

Citirano

	Sve	Od 2019.
Citati	1371	1247
H-indeks	16	16
i10-indeks	21	21

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Suautori

John LangfordMicrosoft Research New YorkPotvrđena adresa e-pošte na hunch.net
Kamalika ChaudhuriUCSD, MetaPotvrđena adresa e-pošte na ucsd.edu
Alekh AgarwalGooglePotvrđena adresa e-pošte na google.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Jordan T. AshMicrosoft Research NYCPotvrđena adresa e-pošte na princeton.edu
Zhi WangPhD Student, University of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYCPotvrđena adresa e-pošte na microsoft.com
Kwang-Sung JunThe University of ArizonaPotvrđena adresa e-pošte na cs.arizona.edu
Songbai YanUniversity of California San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Jie ShenAssistant Professor, Stevens Institute of TechnologyPotvrđena adresa e-pošte na stevens.edu
Francesco OrabonaAssociate Professor, KAUSTPotvrđena adresa e-pošte na orabona.com
Tengyu MAStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Haipeng LuoAssociate Professor, University of Southern CaliforniaPotvrđena adresa e-pošte na usc.edu
Yining ChenOpenAIPotvrđena adresa e-pošte na openai.com
pranjal awasthiGooglePotvrđena adresa e-pošte na rutgers.edu
Maryam MajzoubiGoogle, PhD New York University 2021Potvrđena adresa e-pošte na google.com
Sahand NegahbanAssociate Professor, Yale UniversityPotvrđena adresa e-pošte na yale.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandPotvrđena adresa e-pošte na umiacs.umd.edu
Kyoungseok JangUniversità degli Studi di MilanoPotvrđena adresa e-pošte na unimi.it
Balazs SzorenyiSr Research Scientist at Yahoo ResearchPotvrđena adresa e-pošte na yahooinc.com

Prati

Chicheng Zhang

University of Arizona

Potvrđena adresa e-pošte na cs.arizona.edu - Početna stranica

Interactive machine learning Learning theory


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Deep batch active learning by diverse, uncertain gradient lower bounds JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal arXiv preprint arXiv:1906.03671, 2019	679	2019
Active learning from weak and strong labelers C Zhang, K Chaudhuri Advances in Neural Information Processing Systems 28, 2015	103	2015
Beyond disagreement-based agnostic active learning C Zhang, K Chaudhuri Advances in Neural Information Processing Systems 27, 2014	97	2014
Contextual bandits with continuous actions: Smoothing, zooming, and adapting A Krishnamurthy, J Langford, A Slivkins, C Zhang Journal of Machine Learning Research 21 (137), 1-45, 2020	68	2020
Revisiting perceptron: Efficient and label-optimal learning of halfspaces S Yan, C Zhang Advances in Neural Information Processing Systems 30, 2017	54	2017
Efficient active learning of sparse halfspaces C Zhang Conference on Learning Theory, 1856-1880, 2018	38	2018
Efficient active learning of sparse halfspaces with arbitrary bounded noise C Zhang, J Shen, P Awasthi Advances in Neural Information Processing Systems 33, 7184-7197, 2020	33	2020
Search improves label for active learning A Beygelzimer, DJ Hsu, J Langford, C Zhang Advances in neural information processing systems 29, 2016	31	2016
Efficient contextual bandits with continuous actions M Majzoubi, C Zhang, R Chari, A Krishnamurthy, J Langford, A Slivkins Advances in Neural Information Processing Systems 33, 349-360, 2020	30	2020
Warm-starting contextual bandits: Robustly combining supervised and bandit feedback C Zhang, A Agarwal, H Daumé III, J Langford, SN Negahban arXiv preprint arXiv:1901.00301, 2019	28	2019
The extended littlestone’s dimension for learning with mistakes and abstentions C Zhang, K Chaudhuri Conference on learning theory, 1584-1616, 2016	25	2016
Multitask bandit learning through heterogeneous feedback aggregation Z Wang, C Zhang, MK Singh, L Riek, K Chaudhuri International Conference on Artificial Intelligence and Statistics, 1531-1539, 2021	22*	2021
Efficient Online Bandit Multiclass Learning with Regret A Beygelzimer, F Orabona, C Zhang International Conference on Machine Learning, 488-497, 2017	22	2017
Improved algorithms for efficient active learning halfspaces with massart and tsybakov noise C Zhang, Y Li Conference on Learning Theory, 4526-4527, 2021	21	2021
Active online learning with hidden shifting domains Y Chen, H Luo, T Ma, C Zhang International Conference on Artificial Intelligence and Statistics, 2053-2061, 2021	18*	2021
Provably efficient multi-task reinforcement learning with model transfer C Zhang, Z Wang Advances in Neural Information Processing Systems 34, 19771-19783, 2021	17	2021
Active fairness auditing T Yan, C Zhang International Conference on Machine Learning, 24929-24962, 2022	16	2022
Crush optimism with pessimism: Structured bandits beyond asymptotic optimality KS Jun, C Zhang Advances in Neural Information Processing Systems 33, 6366-6376, 2020	15	2020
Bandit multiclass linear classification: Efficient algorithms for the separable case A Beygelzimer, D Pal, B Szorenyi, D Thiruvenkatachari, CY Wei, C Zhang International Conference on Machine Learning, 624-633, 2019	14	2019
Attribute-efficient learning of halfspaces with malicious noise: Near-optimal label complexity and noise tolerance J Shen, C Zhang Algorithmic Learning Theory, 1072-1113, 2021	11	2021

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