Yue, Yisong

Book Chapter from CaltechAUTHORS

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