Lihong Li (李力鸿)

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John LangfordMicrosoft Research New YorkVerified email at hunch.net
Michael LittmanBrown UniversityVerified email at brown.edu
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Wei Chu（褚崴）InfVerified email at gatsby.ucl.ac.uk
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Bo DaiGoogle Brain & Georgia TechVerified email at google.com
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com
Jianshu ChenPrincipal Scientist, AmazonVerified email at ucla.edu
Dale SchuurmansUniversity of Alberta, Google DeepMindVerified email at cs.ualberta.ca
Asli CelikyilmazResearcher @ FAIR at Meta AIVerified email at ieee.org
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Yun-Nung (Vivian) ChenNational Taiwan UniversityVerified email at ieee.org
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Faisal Ahmed, PhDMicrosoftVerified email at microsoft.com
Thomas J. WalshSony AIVerified email at sony.com
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Xiujun LiUniversity of Washington / AppleVerified email at cs.washington.edu
Chong WangAppleVerified email at cs.princeton.edu
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca

Lihong Li (李力鸿)

Amazon

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Reinforcement Learning Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A contextual-bandit approach to personalized news article recommendation L Li, W Chu, J Langford, RE Schapire Proceedings of the 19th international conference on World wide web, 661-670, 2010	3483	2010
An empirical evaluation of thompson sampling O Chapelle, L Li Advances in neural information processing systems 24, 2011	1861	2011
Parallelized stochastic gradient descent M Zinkevich, M Weimer, L Li, A Smola Advances in neural information processing systems 23, 2010	1792	2010
Contextual bandits with linear payoff functions W Chu, L Li, L Reyzin, R Schapire Proceedings of the Fourteenth International Conference on Artificial …, 2011	1271	2011
Neural approaches to conversational AI J Gao, M Galley, L Li The 41st international ACM SIGIR conference on research & development in …, 2018	952	2018
Doubly robust policy evaluation and learning M Dudík, J Langford, L Li arXiv preprint arXiv:1103.4601, 2011	898	2011
Doubly Robust Policy Evaluation and Learning M Dudık, J Langford, L Li	898*
Doubly robust off-policy value evaluation for reinforcement learning N Jiang, L Li International conference on machine learning, 652-661, 2016	837	2016
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms L Li, W Chu, J Langford, X Wang Proceedings of the fourth ACM international conference on Web search and …, 2011	687	2011
PAC model-free reinforcement learning AL Strehl, L Li, E Wiewiora, J Langford, ML Littman Proceedings of the 23rd international conference on Machine learning, 881-888, 2006	648	2006
Towards a unified theory of state abstraction for MDPs. L Li, TJ Walsh, ML Littman AI&M 1 (2), 3, 2006	624	2006
Sparse Online Learning via Truncated Gradient. J Langford, L Li, T Zhang Journal of Machine Learning Research 10 (3), 2009	598	2009
Taming the monster: A fast and simple algorithm for contextual bandits A Agarwal, D Hsu, S Kale, J Langford, L Li, R Schapire International conference on machine learning, 1638-1646, 2014	577	2014
Towards end-to-end reinforcement learning of dialogue agents for information access B Dhingra, L Li, X Li, J Gao, YN Chen, F Ahmed, L Deng arXiv preprint arXiv:1609.00777, 2016	543*	2016
Doubly robust policy evaluation and optimization M Dudík, D Erhan, J Langford, L Li	489	2014
End-to-end task-completion neural dialogue systems X Li, YN Chen, L Li, J Gao, A Celikyilmaz arXiv preprint arXiv:1703.01008, 2017	462	2017
Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016	420	2016
Breaking the curse of horizon: Infinite-horizon off-policy estimation Q Liu, L Li, Z Tang, D Zhou Advances in neural information processing systems 31, 2018	389	2018
Reinforcement Learning in Finite MDPs: PAC Analysis. AL Strehl, L Li, ML Littman Journal of Machine Learning Research 10 (11), 2009	383	2009
Contextual bandit algorithms with supervised learning guarantees A Beygelzimer, J Langford, L Li, L Reyzin, RE Schapire Arxiv preprint arXiv:1002.4058, 2010	372	2010

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