<h1>Yue, Yisong</h1>
<h2>Book Chapter from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Taylor, Andrew J. and Dorobantu, Victor D., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210120-165235061">Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty</a>; ISBN 978-1-6654-3659-5; 2021 60th IEEE Conference on Decision and Control (CDC); 6469-6476; <a href="https://doi.org/10.1109/CDC45484.2021.9683511">10.1109/CDC45484.2021.9683511</a></li>
<li>Gao, Angela F. and Castellanos, Jorge C., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221026-200931912">DeepGEM: Generalized Expectation-Maximization for Blind Inversion</a>; ISBN 9781713845393; 35th Conference on Neural Information Processing Systems; 1-12</li>
<li>Shi, Guanya and Azizzadenesheli, Kamyar, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200754768">Meta-Adaptive Nonlinear Control: Theory and Algorithms</a>; <a href="https://doi.org/10.48550/arXiv.2106.06098">10.48550/arXiv.2106.06098</a></li>
<li>Jimenez Rodriguez, Ivan D. and Rosolia, Ugo, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-095024771">Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control</a>; ISBN 978-1-6654-1714-3; 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 3896-3903; <a href="https://doi.org/10.1109/IROS51168.2021.9636786">10.1109/IROS51168.2021.9636786</a></li>
<li>Bagherian, Dawna and Gornet, James, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210920-171551019">Fine-Grained System Identification of Nonlinear Neural Circuits</a>; ISBN 978-1-4503-8332-5; Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining; 14-24; <a href="https://doi.org/10.1145/3447548.3467402">10.1145/3447548.3467402</a></li>
<li>Sun, Jennifer J. and Kennedy, Ann, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210119-161625521">Task Programming: Learning Data Efficient Behavior Representations</a>; ISBN 978-1-6654-4509-2; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2875-2884; <a href="https://doi.org/10.1109/CVPR46437.2021.00290">10.1109/CVPR46437.2021.00290</a></li>
<li>Li, Kejun and Tucker, Maegan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210120-165248789">ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes</a>; ISBN 978-1-7281-9077-8; 2021 IEEE International Conference on Robotics and Automation (ICRA); 3212-3218; <a href="https://doi.org/10.1109/ICRA48506.2021.9560840">10.1109/ICRA48506.2021.9560840</a></li>
<li>Ravi Tej, Akella and Azizzadenesheli, Kamyar, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120212166">Deep Bayesian Quadrature Policy Optimization</a>; <a href="https://doi.org/10.48550/arXiv.2006.15637">10.48550/arXiv.2006.15637</a></li>
<li>Abcouwer, Neil and Daftry, Shreyansh, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210119-161632609">Machine Learning Based Path Planning for Improved Rover Navigation</a>; ISBN 978-1-7281-7436-5; 2021 IEEE Aerospace Conference; 1-9; <a href="https://doi.org/10.1109/AERO50100.2021.9438337">10.1109/AERO50100.2021.9438337</a></li>
<li>Song, Jialin and Lanka, Ravi, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-181855228">A General Large Neighborhood Search Framework for Solving Integer Programs</a>; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-12</li>
<li>Marino, Joseph and Piché, Alexandre, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-185354379">Iterative Amortized Policy Optimization</a>; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-15</li>
<li>Bernstein, Jeremy and Zhao, Jiawei, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120208748">Learning compositional functions via multiplicative weight updates</a>; <a href="https://doi.org/10.48550/arXiv.2006.14560">10.48550/arXiv.2006.14560</a></li>
<li>Yu, Chenkai and Shi, Guanya, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-184439362">The Power of Predictions in Online Control</a>; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-11</li>
<li>Bernstein, Jeremy and Vahdat, Arash, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-180007021">On the distance between two neural networks and the stability of learning</a>; ISBN 9781713829546; Advances in Neural Information Processing Systems 33 (NeurIPS 2020); 1-12</li>
<li>Shi, Guanya and Lin, Yiheng, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221222-183256740">Online Optimization with Memory and Competitive Control</a>; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-12</li>
<li>Tucker, Maegan and Cheng, Myra, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200526-152132290">Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits</a>; ISBN 978-1-7281-6212-6; 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 3423-3430; <a href="https://doi.org/10.1109/IROS45743.2020.9341416">10.1109/IROS45743.2020.9341416</a></li>
<li>Tucker, Maegan and Novoseller, Ellen, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200109-095946819">Preference-Based Learning for Exoskeleton Gait Optimization</a>; ISBN 978-1-7281-7395-5; 2020 IEEE International Conference on Robotics and Automation (ICRA); 2351-2357; <a href="https://doi.org/10.1109/ICRA40945.2020.9196661">10.1109/ICRA40945.2020.9196661</a></li>
<li>Shi, Guanya and Hönig, Wolfgang, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20191029-155055963">Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions</a>; ISBN 978-1-7281-7395-5; 2020 IEEE International Conference on Robotics and Automation (ICRA); 3241-3247; <a href="https://doi.org/10.1109/ICRA40945.2020.9196800">10.1109/ICRA40945.2020.9196800</a></li>
<li>Song, Jialin and Tokpanov, Yury S., el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200923-131223809">Mirrored Plasmonic Filter Design via Active Learning of Multi-Fidelity Physical Models</a>; ISBN 9781943580767; 2020 Conference on Lasers and Electro-Optics (CLEO); Art. No. JTu2D.6; <a href="https://doi.org/10.1364/cleo_at.2020.jtu2d.6">10.1364/cleo_at.2020.jtu2d.6</a></li>
<li>Liu, Yukai and Yu, Rose, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-100357088">NAOMI: Non-Autoregressive Multiresolution Sequence Imputation</a>; <a href="https://doi.org/10.48550/arXiv.1901.10946">10.48550/arXiv.1901.10946</a></li>
<li>Ghosh, Nikhil and Chen, Yuxin, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200109-101416499">Landmark Ordinal Embedding</a>; <a href="https://doi.org/10.48550/arXiv.1910.12379">10.48550/arXiv.1910.12379</a></li>
<li>Jin, Baihong and Tan, Yingshui, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154317486">An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing</a>; ISBN 978-1-7281-4550-1; 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA); 1008-1015; <a href="https://doi.org/10.1109/ICMLA.2019.00171">10.1109/ICMLA.2019.00171</a></li>
<li>Verma, Abhinav and Le, Hoang M., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154314013">Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning</a>; <a href="https://doi.org/10.48550/arXiv.1907.05431">10.48550/arXiv.1907.05431</a></li>
<li>Hunziker, Anette and Chen, Yuxin, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180613-133348044">Teaching Multiple Concepts to Forgetful Learners</a>; <a href="https://doi.org/10.48550/arXiv.1805.08322">10.48550/arXiv.1805.08322</a></li>
<li>Taylor, Andrew J. and Dorobantu, Victor D., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085842025">A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability</a>; ISBN 978-1-7281-1398-2; 2019 IEEE 58th Conference on Decision and Control (CDC); 1448-1455; <a href="https://doi.org/10.1109/CDC40024.2019.9029226">10.1109/CDC40024.2019.9029226</a></li>
<li>Taylor, Andrew J. and Dorobantu, Victor D., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085838590">Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems</a>; ISBN 978-1-7281-4004-9; 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 6878-6884; <a href="https://doi.org/10.1109/IROS40897.2019.8967820">10.1109/IROS40897.2019.8967820</a></li>
<li>Ahmadi, Mohamadreza and Wu, Bo, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-102249789">Barrier Certificates for Assured Machine Teaching</a>; ISBN 978-1-5386-7926-5; 2019 American Control Conference (ACC); 3658-3663; <a href="https://doi.org/10.48550/arXiv.1810.00093">10.48550/arXiv.1810.00093</a></li>
<li>Shi, Guanya and Shi, Xichen, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-100744248">Neural Lander: Stable Drone Landing Control using Learned Dynamics</a>; ISBN 978-1-5386-6027-0; 2019 International Conference on Robotics and Automation (ICRA); 9784-9790; <a href="https://doi.org/10.1109/ICRA.2019.8794351">10.1109/ICRA.2019.8794351</a></li>
<li>Marino, Joseph and Cvitkovic, Milan, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-101451102">A General Method for Amortizing Variational Filtering</a>; <a href="https://doi.org/10.48550/arXiv.1811.05090">10.48550/arXiv.1811.05090</a></li>
<li>Mac Aodha, Oisin and Su, Shihan, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180613-143607692">Teaching categories to human learners with visual explanations</a>; ISBN 978-1-5386-6420-9; 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition; 3820-3828; <a href="https://doi.org/10.1109/CVPR.2018.00402">10.1109/CVPR.2018.00402</a></li>
<li>Chen, Yuxin and Singla, Adish, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180613-144817832">Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners</a>; <a href="https://doi.org/10.48550/arXiv.1802.05190">10.48550/arXiv.1802.05190</a></li>
<li>Deng, Zhiwei and Navarathna, Rajitha, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170721-141656092">Factorized Variational Autoencoders for Modeling Audience Reactions to Movies</a>; ISBN 978-1-5386-0457-1; 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); <a href="https://doi.org/10.1109/CVPR.2017.637">10.1109/CVPR.2017.637</a></li>
<li>Zheng, Stephan and Yue, Yisong, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170530-090151984">Generating Long-term Trajectories Using Deep Hierarchical Networks</a>; ISBN 9781510838819; Advances in Neural Information Processing Systems (NIPS 2016); 1551-1559; <a href="https://doi.org/10.48550/arXiv.1706.07138">10.48550/arXiv.1706.07138</a></li>
<li>Ruggero Ronchi, Matteo and Kim, Joon Sik, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170616-103109457">A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses</a>; ISBN 978-1-5090-5473-2; 16th IEEE International Conference on Data Mining (ICDM); 1179-1184; <a href="https://doi.org/10.1109/ICDM.2016.0156">10.1109/ICDM.2016.0156</a></li>
<li>Chen, Jianhui and Le, Hoang M., el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160628-154742818">Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees</a>; ISBN 978-1-4673-8851-1; 2016 IEEE Conference on Computer Vision and Pattern Recognition; 4688-4696; <a href="https://doi.org/10.1109/CVPR.2016.507">10.1109/CVPR.2016.507</a></li>
<li>Sha, Long and Lucey, Patrick, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160316-093534396">Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval</a>; ISBN 978-1-4503-4137-0; Proceedings of the 21st International Conference on Intelligent User Interfaces; 336-347; <a href="https://doi.org/10.1145/2856767.2856772">10.1145/2856767.2856772</a></li>
<li>Krishnan, Kaushik and Marla, Lavanya, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160922-115002462">Robust Ambulance Allocation Using Risk-based Metrics</a>; ISBN 978-1-4673-9622-6; 2016 8th International Conference on Communication Systems and Networks (COMSNETS); 1-6; <a href="https://doi.org/10.1109/COMSNETS.2016.7439958">10.1109/COMSNETS.2016.7439958</a></li>
<li>Kim, Taehwan and Taylor, Sarah, el al. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20150928-132143651">A Decision Tree Framework for Spatiotemporal Sequence Prediction</a>; ISBN 978-1-4503-3664-2; Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 577-586; <a href="https://doi.org/10.1145/2783258.2783356">10.1145/2783258.2783356</a></li>
<li>He, Bryan and Yue, Yisong (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160401-171139889">Smooth Interactive Submodular Set Cover</a></li>
<li>Yue, Yisong and Lucey, Patrick, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170721-143055589">Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction</a>; ISBN 978-1-4799-4274-9; 2014 IEEE International Conference on Data Mining Workshop; 670-679; <a href="https://doi.org/10.1109/ICDM.2014.106">10.1109/ICDM.2014.106</a></li>
<li>Bialkowski, Alina and Lucey, Patrick, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170721-144245153">Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data</a>; ISBN 978-1-4799-4274-9; 2014 IEEE International Conference on Data Mining Workshop; 725-730; <a href="https://doi.org/10.1109/ICDM.2014.133">10.1109/ICDM.2014.133</a></li>
<li>Bialkowski, Alina and Lucey, Patrick, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170721-142537932">Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data</a>; ISBN 978-1-4799-4274-9; 2014 IEEE International Conference on Data Mining Workshop; 9-14; <a href="https://doi.org/10.1109/ICDMW.2014.167">10.1109/ICDMW.2014.167</a></li>
<li>Yue, Yisong and Wang, Chong, el al. (2014) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-144514868">Personalized Collaborative Clustering</a>; <a href="https://doi.org/10.1145/2566486.2567991">10.1145/2566486.2567991</a></li>
<li>Liu, Siyuan and Yue, Yisong, el al. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-105714525">Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models</a>; ISBN 978-1-4503-2174-7; Proceedings of the 19th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining; 704-712; <a href="https://doi.org/10.1145/2487575.2487598">10.1145/2487575.2487598</a></li>
<li>Yue, Yisong and Hong, Sue Ann, el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085835163">Hierarchical Exploration for Accelerating Contextual Bandits</a>; ISBN 978-1-4503-1285-1; ICML'12 Proceedings of the 29th International Coference on International Conference on Machine Learning; 979-986; <a href="https://doi.org/10.48550/arXiv.1206.6454">10.48550/arXiv.1206.6454</a></li>
<li>Yue, Yisong and Guestrin, Carlos (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190416-081616693">Linear Submodular Bandits and their Application to Diversified Retrieval</a>; ISBN 9781618395993; Advances in Neural Information Processing Systems 24; 1-9</li>
<li>Radlinski, Filip and Yue, Yisong (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-142307889">Practical Online Retrieval Evaluation</a>; ISBN 978-1-4503-0757-4; Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval; 1301; <a href="https://doi.org/10.1145/2009916.2010171">10.1145/2009916.2010171</a></li>
<li>Brandt, Christina and Joachims, Thorsten, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-134106609">Dynamic Ranked Retrieval</a>; ISBN 978-1-4503-0493-1; Proceedings of the 4th ACM international conference on Web search and data mining; 247-256; <a href="https://doi.org/10.1145/1935826.1935872">10.1145/1935826.1935872</a></li>
<li>Yessenalina, Ainur and Yue, Yisong, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-132610594">Multi-level structured models for document-level sentiment classification</a></li>
<li>Yue, Yisong and Gao, Yue, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-140102637">Learning More Powerful Test Statistics for Click-Based Retrieval Evaluation</a>; ISBN 978-1-4503-0153-4; Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval; 507-514; <a href="https://doi.org/10.1145/1835449.1835534">10.1145/1835449.1835534</a></li>
<li>Yue, Yisong and Patel, Rajan, el al. (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-141508773">Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data</a>; ISBN 978-1-60558-799-8; Proceedings of the 19th international conference on World wide web; 1011-1018; <a href="https://doi.org/10.1145/1772690.1772793">10.1145/1772690.1772793</a></li>
<li>Yue, Yisong and Joachims, Thorsten (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-105428880">Interactively Optimizing Information Retrieval Systems  as a Dueling Bandits Problem</a>; ISBN 978-1-60558-516-1; Proceedings of the 26th International Conference on Machine Learning; 1201-1208; <a href="https://doi.org/10.1145/1553374.1553527">10.1145/1553374.1553527</a></li>
<li>Yue, Yisong and Joachims, Thorsten (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-105531620">Predicting Diverse Subsets Using Structural SVMs</a>; ISBN 978-1-60558-205-4; Proceedings of the 25th International Conference on Machine Learning; 1224-1231; <a href="https://doi.org/10.1145/1390156.1390310">10.1145/1390156.1390310</a></li>
<li>Yue, Yisong and Finley, Thomas, el al. (2007) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140910-134938693">A Support Vector Method for Optimizing Average Precision</a>; ISBN 978-1-59593-597-7; Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval; 271-278; <a href="https://doi.org/10.1145/1277741.1277790">10.1145/1277741.1277790</a></li>
</ul>