Yue, Yisong
Taylor, Andrew J. and Dorobantu, Victor D., el al. (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., el al. (2021) DeepGEM: Generalized Expectation-Maximization for Blind Inversion ; ISBN 9781713845393; 35th Conference on Neural Information Processing Systems; 1-12
Shi, Guanya and Azizzadenesheli, Kamyar, el al. (2021) Meta-Adaptive Nonlinear Control: Theory and Algorithms ; 10.48550/arXiv.2106.06098
Jimenez Rodriguez, Ivan D. and Rosolia, Ugo, el al. (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, el al. (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, el al. (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, el al. (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, el al. (2021) Deep Bayesian Quadrature Policy Optimization ; 10.48550/arXiv.2006.15637
Abcouwer, Neil and Daftry, Shreyansh, el al. (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
Bernstein, Jeremy and Vahdat, Arash, el al. (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
Marino, Joseph and Piché, Alexandre, el al. (2020) Iterative Amortized Policy Optimization ; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-15
Shi, Guanya and Lin, Yiheng, el al. (2020) Online Optimization with Memory and Competitive Control ; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-12
Yu, Chenkai and Shi, Guanya, el al. (2020) The Power of Predictions in Online Control ; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-11
Song, Jialin and Lanka, Ravi, el al. (2020) A General Large Neighborhood Search Framework for Solving Integer Programs ; ISBN 9781713829546; 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 1-12
Bernstein, Jeremy and Zhao, Jiawei, el al. (2020) Learning compositional functions via multiplicative weight updates ; 10.48550/arXiv.2006.14560
Tucker, Maegan and Cheng, Myra, el al. (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, el al. (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, el al. (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., el al. (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
Jin, Baihong and Tan, Yingshui, el al. (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
Ghosh, Nikhil and Chen, Yuxin, el al. (2019) Landmark Ordinal Embedding ; 10.48550/arXiv.1910.12379
Verma, Abhinav and Le, Hoang M., el al. (2019) Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning ; 10.48550/arXiv.1907.05431
Hunziker, Anette and Chen, Yuxin, el al. (2019) Teaching Multiple Concepts to Forgetful Learners ; 10.48550/arXiv.1805.08322
Liu, Yukai and Yu, Rose, el al. (2019) NAOMI: Non-Autoregressive Multiresolution Sequence Imputation ; 10.48550/arXiv.1901.10946
Taylor, Andrew J. and Dorobantu, Victor D., el al. (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
Taylor, Andrew J. and Dorobantu, Victor D., el al. (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, el al. (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, el al. (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, el al. (2018) A General Method for Amortizing Variational Filtering ; 10.48550/arXiv.1811.05090
Mac Aodha, Oisin and Su, Shihan, el al. (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, el al. (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, el al. (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, el al. (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, el al. (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., el al. (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, el al. (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, el al. (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, el al. (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
Bialkowski, Alina and Lucey, Patrick, el al. (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
Yue, Yisong and Lucey, Patrick, el al. (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, el al. (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, el al. (2014) Personalized Collaborative Clustering ; 10.1145/2566486.2567991
Liu, Siyuan and Yue, Yisong, el al. (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, el al. (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, el al. (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, el al. (2010) Multi-level structured models for document-level sentiment classification
Yue, Yisong and Gao, Yue, el al. (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, el al. (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, el al. (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
