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Le, Hoang M.; Jiang, Nan et al. (2018) Hierarchical Imitation and Reinforcement Learning Proceedings of Machine Learning Research; Vol. 80; In: 35th International Conference on Machine Learning, 10-15 July 2018, Stockholm, Sweden https://doi.org/10.48550/arXiv.1803.00590
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Chen, Yuxin; Singla, Adish et al. (2018) Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners In: Advances in Neural Information Processing Systems 31 (NIPS 2018); Series Advances in Neural Information Processing Systems; No. 31; In: 32nd Conference on Neural Information Processing Systems Workshop on Machine Learning for Molecules (NIPS 2018), 2-8 December 2018, Montréal, Canada https://doi.org/10.48550/arXiv.1802.05190
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Yu, Rose; Zheng, Stephan et al. (2017) Long-term Forecasting using Tensor-Train RNNs arXiv; https://doi.org/10.48550/arXiv.1711.00073 (Submitted)
Sha, Long; Lucey, Patrick et al. (2017) Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories arXiv; In: 11th ACM International Conference on Web Search and Data Mining (WSDM’18), 5-9 February 2018, Los Angeles, CA https://doi.org/10.48550/arXiv.1710.02255 (Submitted)
Le, Hoang M.; Yue, Yisong et al. (2017) Coordinated Multi-Agent Imitation Learning In: Proceedings of Machine Learning Research; Proceedings of Machine Learning Research; Vol. 70; In: 34th International Conference on Machine Learning (ICML), 6-11 August 2017, Sydney, Australia https://doi.org/10.48550/arXiv.1703.03121
Sui, Yanan; Yue, Yisong et al. (2017) Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces arXiv; https://doi.org/10.48550/arXiv.1707.02375 (Submitted)
Taylor, Sarah; Kim, Taehwan et al. (2017) A deep learning approach for generalized speech animation ACM Transactions on Graphics; Vol. 36; No. 4; https://doi.org/10.1145/3072959.3073699
Deng, Zhiwei; Navarathna, Rajitha et al. (2017) Factorized Variational Autoencoders for Modeling Audience Reactions to Movies In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on; In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, Honolulu, HI https://doi.org/10.1109/CVPR.2017.637
Sui, Yanan; Zhuang, Vincent et al. (2017) Multi-dueling Bandits with Dependent Arms arXiv; https://doi.org/10.48550/arXiv.1705.00253
Eyjolfsdottir, Eyrun; Branson, Kristin et al. (2017) Learning recurrent representations for hierarchical behavior modeling In: 5th International Conference on Learning Representations (ICLR), 24-26 April 2017, Toulon, France https://doi.org/10.48550/arXiv.1611.00094
Le, Hoang M.; Carr, Peter et al. (2017) Data-Driven Ghosting using Deep Imitation Learning In: MIT Sloan Sports Analytics Conference, March 3-4, 2017, Boston, MA https://resolver.caltech.edu/CaltechAUTHORS:20170316-121646643
Ruggero Ronchi, Matteo; Kim, Joon Sik et al. (2016) A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses In: 16th IEEE International Conference on Data Mining (ICDM); Series IEEE International Conference on Data Mining; In: 16th IEEE International Conference on Data Mining (ICDM), 12-15 December 2016, Barcelona, Spain https://doi.org/10.1109/ICDM.2016.0156
Zheng, Stephan; Yue, Yisong et al. (2016) Generating Long-term Trajectories Using Deep Hierarchical Networks In: Advances in Neural Information Processing Systems (NIPS 2016); Vol. 3; In: Neural Information Processing Systems (NIPS 2016), 5-10 December 2016, Barcelona, Spain https://doi.org/10.48550/arXiv.1706.07138
Le, Hoang M.; Kang, Andrew et al. (2016) Smooth Imitation Learning for Online Sequence Prediction In: Proceedings of the 33rd International Conference on Machine Learning; Proceedings of Machine Learning Research; Vol. 48; In: International Conference on Machine Learning (ICML), 19-24 June 2016, New York, NY https://doi.org/10.48550/arXiv.1606.00968
Chen, Jianhui; Le, Hoang M. et al. (2016) Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees In: 2016 IEEE Conference on Computer Vision and Pattern Recognition; In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, 26 June - 1 July 2016, Las Vegas, NV https://doi.org/10.1109/CVPR.2016.507
Sha, Long; Lucey, Patrick et al. (2016) Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval In: Proceedings of the 21st International Conference on Intelligent User Interfaces; In: 21st International Conference on Intelligent User Interfaces (IUI '16), March 7-10, 2016, Sonoma, CA https://doi.org/10.1145/2856767.2856772
Krishnan, Kaushik; Marla, Lavanya et al. (2016) Robust Ambulance Allocation Using Risk-based Metrics In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS); In: 8th International Conference on Communication Systems and Networks (COMSNETS), 5-10 Jan. 2016, Bangalore, India https://doi.org/10.1109/COMSNETS.2016.7439958
Liu, Siyuan; Yue, Yisong et al. (2015) Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments IEEE Transactions on Knowledge and Data Engineering; Vol. 27; No. 9; https://doi.org/10.1109/TKDE.2015.2411278
Kim, Taehwan; Taylor, Sarah et al. (2015) A Decision Tree Framework for Spatiotemporal Sequence Prediction In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; In: 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '15), August 10-13, 2015, Sydney, Australia https://doi.org/10.1145/2783258.2783356
He, Bryan; Yue, Yisong (2015) Smooth Interactive Submodular Set Cover In: Advances in Neural Information Processing Systems 28 (NIPS 2015); Series Advances in Neural Information Processing Systems; No. 28; In: Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), December 7-12, 2015, Montreal, Canada https://resolver.caltech.edu/CaltechAUTHORS:20160401-171139889
Bialkowski, Alina; Lucey, Patrick et al. (2014) Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data In: 2014 IEEE International Conference on Data Mining Workshop; In: 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014, Shenzhen, China https://doi.org/10.1109/ICDMW.2014.167
Bialkowski, Alina; Lucey, Patrick et al. (2014) Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data In: 2014 IEEE International Conference on Data Mining Workshop; In: 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014, Shenzhen, China https://doi.org/10.1109/ICDM.2014.133
Yue, Yisong; Lucey, Patrick et al. (2014) Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction In: 2014 IEEE International Conference on Data Mining Workshop; In: 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014, Shenzhen, China https://doi.org/10.1109/ICDM.2014.106
Yue, Yisong; Wang, Chong et al. (2014) Personalized Collaborative Clustering In: Proceedings of the 23rd international conference on World wide web; In: 23rd international conference on World wide web (WWW '14), April 7–11, 2014, Seoul, Korea https://doi.org/10.1145/2566486.2567991
Ross, Stephane; Zhou, Jiaji et al. (2013) Learning Policies for Contextual Submodular Prediction In: ICML'13 Proceedings of the 30th International Conference on International Conference on Machine Learning ; Proceedings of Machine Learning Research; Vol. 28; No. 3; In: 30th International Conference on International Conference on Machine Learning (ICML'13), 17-19 June 2013, Atlanta, GA https://doi.org/10.48550/arXiv.1305.2532
Zhou, Jiaji; Ross, Stephane et al. (2013) Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization arXiv; In: Inferning: Interactions between Inference and Learning (WINFERN), 20 June 2013, Atlanta, GA https://doi.org/10.48550/arXiv.1308.3541 (Submitted)
Liu, Siyuan; Yue, Yisong et al. (2013) Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models In: Proceedings of the 19th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining ; In: KDD '13: 19th ACM SIGKDD international conference on Knowledge discovery and data mining , 10-14 August 2013, Chicago, Illinois https://doi.org/10.1145/2487575.2487598
Yue, Yisong; Broder, Josef et al. (2012) The K-armed dueling bandits problem Journal of Computer and System Sciences; Vol. 78; No. 5; https://doi.org/10.1016/j.jcss.2011.12.028
Yue, Yisong; Hong, Sue Ann et al. (2012) Hierarchical Exploration for Accelerating Contextual Bandits In: ICML'12 Proceedings of the 29th International Coference on International Conference on Machine Learning; arXiv; In: 29th International Coference on International Conference on Machine Learning (ICML'12), 26 June-1 July 2012, Edinburgh, Scotland https://doi.org/10.48550/arXiv.1206.6454
Chapelle, Olivier; Joachims, Thorsten et al. (2012) Large-scale validation and analysis of interleaved search evaluation ACM Transactions on Information Systems; Vol. 30; No. 1; https://doi.org/10.1145/2094072.2094078
Yue, Yisong; Guestrin, Carlos (2011) Linear Submodular Bandits and their Application to Diversified Retrieval In: Advances in Neural Information Processing Systems 24; Series Advances in Neural Information Processing Systems; No. 24; In: 25th Annual Conference on Neural Information Processing Systems, 12-15 December 2011, Granada, Spain https://resolver.caltech.edu/CaltechAUTHORS:20190416-081616693
Radlinski, Filip; Yue, Yisong (2011) Practical Online Retrieval Evaluation In: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval; In: 34th international ACM SIGIR conference on Research and development in Information Retrieval (SIGIR '11), July 24–28, 2011, Beijing, China https://doi.org/10.1145/2009916.2010171
Brandt, Christina; Joachims, Thorsten et al. (2011) Dynamic Ranked Retrieval In: Proceedings of the 4th ACM international conference on Web search and data mining; In: Proceedings of the 4th ACM international conference on Web search and data mining (WSDM '11), February 9–12, 2011, Hong Kong, China https://doi.org/10.1145/1935826.1935872
Yessenalina, Ainur; Yue, Yisong et al. (2010) Multi-level structured models for document-level sentiment classification In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing; In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 9-11 October 2010, Cambridge, MA https://resolver.caltech.edu/CaltechAUTHORS:20140910-132610594
Yue, Yisong; Gao, Yue et al. (2010) Learning More Powerful Test Statistics for Click-Based Retrieval Evaluation In: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval; In: 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10), 19-23 July 2010, Geneva, Switzerland https://doi.org/10.1145/1835449.1835534
Yue, Yisong; Patel, Rajan et al. (2010) Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data In: Proceedings of the 19th international conference on World wide web; In: Proceedings of the 19th international conference on World wide web (WWW '10), April 26–30, 2010, Raleigh, NC https://doi.org/10.1145/1772690.1772793
Joachims, Thorsten; Hofmann, Thomas et al. (2009) Predicting Structured Objects with Support Vector Machines Communications of the ACM; Vol. 52; No. 11; https://doi.org/10.1145/1592761.1592783
Yue, Yisong; Joachims, Thorsten (2009) Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem In: Proceedings of the 26th International Conference on Machine Learning; In: ICML '09: 26th Annual International Conference on Machine Learning , June 14-18, 2009, Montreal, Canada https://doi.org/10.1145/1553374.1553527
Yue, Yisong; Joachims, Thorsten (2008) Predicting Diverse Subsets Using Structural SVMs In: Proceedings of the 25th International Conference on Machine Learning; Proceedings of the 25th international conference on Machine learning; In: 25th International Conference on Machine Learning (ICML '08), 5-9 July 2008, Helsinki, Finland https://doi.org/10.1145/1390156.1390310
Yue, Yisong; Finley, Thomas et al. (2007) A Support Vector Method for Optimizing Average Precision In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval; In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '07), July 23–27, 2007, Amsterdam, The Netherlands https://doi.org/10.1145/1277741.1277790