Yisong Yue

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Hoang M. LeArgo AI; Microsoft Research; CaltechVerified email at argo.ai
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Patrick LuceyStats PerformVerified email at qut.edu.au
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Iain MatthewsEpic Games / University of East Anglia / Carnegie Mellon UniversityVerified email at uea.ac.uk
Aaron D. AmesBren Professor, Mechanical and Civil Engineering, Control and Dynamical Systems, CaltechVerified email at cds.caltech.edu
Stephan ZhengLead Research Scientist, Salesforce ResearchVerified email at salesforce.com
Soon-Jo ChungBren Professor of Aerospace and Control & Dynamical Systems at Caltech; JPL Research ScientistVerified email at caltech.edu
Guanya ShiPh.D. Candidate at CaltechVerified email at caltech.edu
Yuxin ChenUniversity of Chicago, Assistant Professor of Computer ScienceVerified email at uchicago.edu
Yanan SuiTsinghua UniversityVerified email at tsinghua.edu.cn
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Jialin SongPhD, CaltechVerified email at caltech.edu
Eric ZhanPhD Candidate at CaltechVerified email at caltech.edu
Kamyar AzizzadenesheliAssistant Professor at Purdue UniversityVerified email at purdue.edu
Joseph MarinoResearch Scientist, DeepMindVerified email at deepmind.com
Rose YuAssistant Professor, University of California, San DiegoVerified email at ucsd.edu
Sridha SridharanProfessorVerified email at qut.edu.au
Masahiro OnoNASA Jet Propulsion Laboratory, California Institute of TechnologyVerified email at jpl.nasa.gov
Swarat ChaudhuriUniversity of Texas at AustinVerified email at cs.utexas.edu

Yisong Yue

California Institute of Technology; Argo AI

Verified email at caltech.edu - Homepage

Machine Learning Sequential Decision Making Human-in-the-Loop AI-for-Science


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A support vector method for optimizing average precision Y Yue, T Finley, F Radlinski, T Joachims Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	827	2007
Interactively optimizing information retrieval systems as a dueling bandits problem Y Yue, T Joachims Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	300	2009
The k-armed dueling bandits problem Y Yue, J Broder, R Kleinberg, T Joachims Conference on Learning Theory (COLT), 2009	268	2009
Multi-level structured models for document-level sentiment classification A Yessenalina, Y Yue, C Cardie Proceedings of the 2010 conference on empirical methods in natural language …, 2010	243	2010
Predicting diverse subsets using structural SVMs Y Yue, T Joachims Proceedings of the 25th international conference on Machine learning, 1224-1231, 2008	201	2008
A deep learning approach for generalized speech animation S Taylor, T Kim, Y Yue, M Mahler, J Krahe, AG Rodriguez, J Hodgins, ... ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017	198	2017
Large Scale Validation and Analysis of Interleaved Search Evaluation O CHAPELLE, T JOACHIMS, F RADLINSKI, Y YUE ACM Transactions on Information Systems (TOIS) 30 (1), 6:1--6:41, 2012	188	2012
Beyond position bias: Examining result attractiveness as a source of presentation bias in clickthrough data Y Yue, R Patel, H Roehrig Proceedings of the 19th international conference on World wide web, 1011-1018, 2010	188	2010
Large-Scale Analysis of Soccer Matches using Spatiotemporal Tracking Data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews IEEE International Conference on Data Mining (ICDM), 2014	171	2014
Linear Submodular Bandits and its Application to Diversified Retrieval Y Yue, C Guestrin Proceedings of Neural Information Processing Systems (NeurIPS), 2011	163*	2011
Coordinated Multi-Agent Imitation Learning HM Le, Y Yue, P Carr, P Lucey International Conference on Machine Learning (ICML), 2017	154	2017
Neural lander: Stable drone landing control using learned dynamics G Shi, X Shi, M O'Connell, R Yu, K Azizzadenesheli, A Anandkumar, ... International Conference on Robotics and Automation (ICRA), 2019	153	2019
Batch Policy Learning under Constraints HM Le, C Voloshin, Y Yue International Conference on Machine Learning (ICML), 2019	144	2019
Long-term forecasting using higher order tensor-train rnns R Yu, S Zheng, A Anandkumar, Y Yue arXiv preprint arXiv:1711.00073, 2017	144*	2017
Predicting structured objects with support vector machines T Joachims, T Hofmann, Y Yue, CN Yu Communications of the ACM 52 (11), 97-104, 2009	134	2009
Hierarchical Imitation and Reinforcement Learning HM Le, N Jiang, A Agarwal, M Dudík, Y Yue, H Daumé III International Conference on Machine Learning (ICML), 2018	133	2018
Learning for Safety-Critical Control with Control Barrier Functions A Taylor, A Singletary, Y Yue, A Ames Conference on Learning for Dynamics and Control (L4DC), 2020	116	2020
Iterative Amortized Inference J Marino, Y Yue, S Mandt International Conference on Machine Learning (ICML), 2018	115	2018
Beat the Mean Bandit Y Yue, T Joachims International Conference on Machine Learning (ICML), 2011	108	2011
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction Y Yue, P Lucey, P Carr, A Bialkowski, I Matthews IEEE International Conference on Data Mining (ICDM), 2014	103	2014

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