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
Yuxin ChenUniversity of Chicago, Assistant Professor of Computer ScienceVerified email at uchicago.edu
Guanya ShiPh.D. Candidate at CaltechVerified email at caltech.edu
Yanan SuiTsinghua UniversityVerified email at tsinghua.edu.cn
Jialin SongPhD, CaltechVerified email at caltech.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Kamyar AzizzadenesheliNvidiaVerified email at nvidia.com
Eric ZhanPhD Candidate at CaltechVerified email at caltech.edu
Rose YuAssistant Professor, University of California, San DiegoVerified email at ucsd.edu
Joseph MarinoResearch Scientist, DeepMindVerified email at deepmind.com
Sridha SridharanProfessorVerified email at qut.edu.au
Masahiro OnoNASA Jet Propulsion Laboratory, California Institute of TechnologyVerified email at jpl.nasa.gov
Jennifer J. SunPhD student at CaltechVerified email at caltech.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	828	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	305	2009
The k-armed dueling bandits problem Y Yue, J Broder, R Kleinberg, T Joachims Conference on Learning Theory (COLT), 2009	271	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	247	2010
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	201	2017
Predicting diverse subsets using structural SVMs Y Yue, T Joachims Proceedings of the 25th international conference on Machine learning, 1224-1231, 2008	201	2008
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	193	2010
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	190	2012
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	174	2014
Linear Submodular Bandits and its Application to Diversified Retrieval Y Yue, C Guestrin Proceedings of Neural Information Processing Systems (NeurIPS), 2011	163*	2011
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	158	2019
Coordinated Multi-Agent Imitation Learning HM Le, Y Yue, P Carr, P Lucey International Conference on Machine Learning (ICML), 2017	157	2017
Long-term forecasting using higher order tensor-train rnns R Yu, S Zheng, A Anandkumar, Y Yue arXiv preprint arXiv:1711.00073, 2017	153*	2017
Batch Policy Learning under Constraints HM Le, C Voloshin, Y Yue International Conference on Machine Learning (ICML), 2019	150	2019
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	137	2018
Predicting structured objects with support vector machines T Joachims, T Hofmann, Y Yue, CN Yu Communications of the ACM 52 (11), 97-104, 2009	135	2009
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	121	2020
Iterative Amortized Inference J Marino, Y Yue, S Mandt International Conference on Machine Learning (ICML), 2018	118	2018
Beat the Mean Bandit Y Yue, T Joachims International Conference on Machine Learning (ICML), 2011	110	2011
PhaseLink: A deep learning approach to seismic phase association ZE Ross, Y Yue, MA Meier, E Hauksson, TH Heaton Journal of Geophysical Research: Solid Earth 124 (1), 856-869, 2019	107	2019

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