Taylor, Andrew J.; Dorobantu, Victor D. et al. (2021) Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty 2021 60th IEEE Conference on Decision and Control (CDC); arXiv; 2021 60th IEEE Conference on Decision and Control (CDC), 14-17 December 2021 , Austin, TX
Gao, Angela F.; Castellanos, Jorge C. et al. (2021) DeepGEM: Generalized Expectation-Maximization for Blind Inversion 35th Conference on Neural Information Processing Systems; 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 28 November-9 December 2021 , Sydney, Australia
Shi, Guanya; Azizzadenesheli, Kamyar et al. (2021) Meta-Adaptive Nonlinear Control: Theory and Algorithms 35th Conference on Neural Information Processing Systems; arXiv; 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 28 November-9 December 2021 , Sydney, Australia
Jimenez Rodriguez, Ivan D.; Rosolia, Ugo et al. (2021) Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); arXiv; 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 27 September-1 October 2021 , Prague, Czech Republic
Bagherian, Dawna; Gornet, James et al. (2021) Fine-Grained System Identification of Nonlinear Neural Circuits Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining; 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21), 14-18 August 2021 , Singapore
Sun, Jennifer J.; Kennedy, Ann et al. (2021) Task Programming: Learning Data Efficient Behavior Representations 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); arXiv; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20-25 June 2021 , Nashville, TN
Li, Kejun; Tucker, Maegan et al. (2021) ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes 2021 IEEE International Conference on Robotics and Automation (ICRA); arXiv; 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021 , Xi'an, China
Ravi Tej, Akella; Azizzadenesheli, Kamyar et al. (2021) Deep Bayesian Quadrature Policy Optimization Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21); arXiv; Vol. 35; Series.Proceedings of the AAAI Conference on Artificial Intelligence; Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2-9 February 2021 , [Online Only]
Abcouwer, Neil; Daftry, Shreyansh et al. (2021) Machine Learning Based Path Planning for Improved Rover Navigation 2021 IEEE Aerospace Conference; arXiv; 2021 IEEE Aerospace Conference, 6-13 March 2021 , Big Sky, MT
Song, Jialin; Lanka, Ravi et al. (2020) A General Large Neighborhood Search Framework for Solving Integer Programs 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Marino, Joseph; Piché, Alexandre et al. (2020) Iterative Amortized Policy Optimization 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Bernstein, Jeremy; Zhao, Jiawei et al. (2020) Learning compositional functions via multiplicative weight updates Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020); arXiv; 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Bernstein, Jeremy; Vahdat, Arash et al. (2020) On the distance between two neural networks and the stability of learning Advances in Neural Information Processing Systems 33 (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Shi, Guanya; Lin, Yiheng et al. (2020) Online Optimization with Memory and Competitive Control 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Yu, Chenkai; Shi, Guanya et al. (2020) The Power of Predictions in Online Control 34th Conference on Neural Information Processing Systems (NeurIPS 2020); 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 6-12 December 2020 , [Online Only]
Tucker, Maegan; Cheng, Myra et al. (2020) Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); arXiv; 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 25-29 October 2020 , Las Vegas, NV
Shi, Guanya; Hönig, Wolfgang et al. (2020) Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions 2020 IEEE International Conference on Robotics and Automation (ICRA); 2020 IEEE International Conference on Robotics and Automation (ICRA), 31 May-31 August 2020 , Paris, France
Tucker, Maegan; Novoseller, Ellen et al. (2020) Preference-Based Learning for Exoskeleton Gait Optimization 2020 IEEE International Conference on Robotics and Automation (ICRA); arXiv; 2020 IEEE International Conference on Robotics and Automation (ICRA), 31 May-31 August 2020 , Paris, France
Song, Jialin; Tokpanov, Yury S. et al. (2020) Mirrored Plasmonic Filter Design via Active Learning of Multi-Fidelity Physical Models 2020 Conference on Lasers and Electro-Optics (CLEO); 2020 Conference on Lasers and Electro-Optics (CLEO), 10-15 May 2020 , San Jose, CA
Taylor, Andrew J.; Dorobantu, Victor D. et al. (2019) A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability 2019 IEEE 58th Conference on Decision and Control (CDC); arXiv; 2019 IEEE 58th Conference on Decision and Control (CDC), 11-13 December 2019 , Nice, France
Jin, Baihong; Tan, Yingshui et al. (2019) An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA); arXiv; 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 16-19 December 2019 , Boca Raton, FL
Verma, Abhinav; Le, Hoang M. et al. (2019) Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning 33rd Conference on Neural Information Processing Systems; arXiv; 33rd Conference on Neural Information Processing Systems (NeurIPS), 8-14 December 2019 , Vancouver, Canada
Ghosh, Nikhil; Chen, Yuxin et al. (2019) Landmark Ordinal Embedding 33rd Conference on Neural Information Processing Systems; arXiv; 33rd Conference on Neural Information Processing Systems (NeurIPS), 8-14 December 2019 , Vancouver, Canada
Liu, Yukai; Yu, Rose et al. (2019) NAOMI: Non-Autoregressive Multiresolution Sequence Imputation 33rd Conference on Neural Information Processing Systems; arXiv; 33rd Conference on Neural Information Processing Systems (NeurIPS), 8-14 December 2019 , Vancouver, Canada
Hunziker, Anette; Chen, Yuxin et al. (2019) Teaching Multiple Concepts to Forgetful Learners 33rd Conference on Neural Information Processing Systems; arXiv; 33rd Conference on Neural Information Processing Systems (NeurIPS), 8-14 December 2019 , Vancouver, Canada
Taylor, Andrew J.; Dorobantu, Victor D. et al. (2019) Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); arXiv; 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3-8 November 2019 , Macau, China
Ahmadi, Mohamadreza; Wu, Bo et al. (2019) Barrier Certificates for Assured Machine Teaching 2019 American Control Conference (ACC); arXiv; 2019 American Control Conference (ACC), 10-12 July 2019 , Philadelphia, PA
Shi, Guanya; Shi, Xichen et al. (2019) Neural Lander: Stable Drone Landing Control using Learned Dynamics 2019 International Conference on Robotics and Automation (ICRA); arXiv; 2019 International Conference on Robotics and Automation (ICRA), 20-24 May 2019 , Montreal, Canada
Marino, Joseph; Cvitkovic, Milan et al. (2018) A General Method for Amortizing Variational Filtering Advances in Neural Information Processing Systems 31 (NIPS 2018); arXiv; Series.Advances in Neural Information Processing Systems; No. 31; 32nd Conference on Neural Information Processing Systems Workshop on Machine Learning for Molecules (NIPS 2018), 2-8 December 2018 , Montréal, Canada
Mac Aodha, Oisin; Su, Shihan et al. (2018) Teaching categories to human learners with visual explanations 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 18-23 June 2018 , Salt Lake City, UT
Chen, Yuxin; Singla, Adish et al. (2018) Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners Advances in Neural Information Processing Systems 31 (NIPS 2018); Series.Advances in Neural Information Processing Systems; No. 31; 32nd Conference on Neural Information Processing Systems Workshop on Machine Learning for Molecules (NIPS 2018), 2-8 December 2018 , Montréal, Canada
Deng, Zhiwei; Navarathna, Rajitha et al. (2017) Factorized Variational Autoencoders for Modeling Audience Reactions to Movies 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on; 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017 , Honolulu, HI
Ruggero Ronchi, Matteo; Kim, Joon Sik et al. (2016) A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses 16th IEEE International Conference on Data Mining (ICDM); Series.IEEE International Conference on Data Mining; 16th IEEE International Conference on Data Mining (ICDM), 12-15 December 2016 , Barcelona, Spain
Zheng, Stephan; Yue, Yisong et al. (2016) Generating Long-term Trajectories Using Deep Hierarchical Networks Advances in Neural Information Processing Systems (NIPS 2016); Vol. 3; Neural Information Processing Systems (NIPS 2016), 5-10 December 2016 , Barcelona, Spain
Chen, Jianhui; Le, Hoang M. et al. (2016) Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees 2016 IEEE Conference on Computer Vision and Pattern Recognition; 2016 IEEE Conference on Computer Vision and Pattern Recognition, 26 June - 1 July 2016 , Las Vegas, NV
Sha, Long; Lucey, Patrick et al. (2016) Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval Proceedings of the 21st International Conference on Intelligent User Interfaces; 21st International Conference on Intelligent User Interfaces (IUI '16), March 7-10, 2016 , Sonoma, CA
Krishnan, Kaushik; Marla, Lavanya et al. (2016) Robust Ambulance Allocation Using Risk-based Metrics 2016 8th International Conference on Communication Systems and Networks (COMSNETS); 8th International Conference on Communication Systems and Networks (COMSNETS), 5-10 Jan. 2016 , Bangalore, India
Kim, Taehwan; Taylor, Sarah et al. (2015) A Decision Tree Framework for Spatiotemporal Sequence Prediction Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '15), August 10-13, 2015 , Sydney, Australia
He, Bryan; Yue, Yisong (2015) Smooth Interactive Submodular Set Cover Advances in Neural Information Processing Systems 28 (NIPS 2015); Series.Advances in Neural Information Processing Systems; No. 28; Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), December 7-12, 2015 , Montreal, Canada
Bialkowski, Alina; Lucey, Patrick et al. (2014) Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data 2014 IEEE International Conference on Data Mining Workshop; 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014 , Shenzhen, China
Bialkowski, Alina; Lucey, Patrick et al. (2014) Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data 2014 IEEE International Conference on Data Mining Workshop; 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014 , Shenzhen, China
Yue, Yisong; Lucey, Patrick et al. (2014) Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction 2014 IEEE International Conference on Data Mining Workshop; 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14-17 December 2014 , Shenzhen, China
Yue, Yisong; Wang, Chong et al. (2014) Personalized Collaborative Clustering Proceedings of the 23rd international conference on World wide web; 23rd international conference on World wide web (WWW '14), April 7–11, 2014 , Seoul, Korea
Liu, Siyuan; Yue, Yisong et al. (2013) Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models Proceedings of the 19th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining ; KDD '13: 19th ACM SIGKDD international conference on Knowledge discovery and data mining , 10-14 August 2013 , Chicago, Illinois
Yue, Yisong; Hong, Sue Ann et al. (2012) Hierarchical Exploration for Accelerating Contextual Bandits ICML'12 Proceedings of the 29th International Coference on International Conference on Machine Learning; arXiv; 29th International Coference on International Conference on Machine Learning (ICML'12), 26 June-1 July 2012 , Edinburgh, Scotland
Yue, Yisong; Guestrin, Carlos (2011) Linear Submodular Bandits and their Application to Diversified Retrieval Advances in Neural Information Processing Systems 24; Series.Advances in Neural Information Processing Systems; No. 24; 25th Annual Conference on Neural Information Processing Systems, 12-15 December 2011 , Granada, Spain
Radlinski, Filip; Yue, Yisong (2011) Practical Online Retrieval Evaluation Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval; 34th international ACM SIGIR conference on Research and development in Information Retrieval (SIGIR '11), July 24–28, 2011 , Beijing, China
Brandt, Christina; Joachims, Thorsten et al. (2011) Dynamic Ranked Retrieval Proceedings of the 4th ACM international conference on Web search and data mining; Proceedings of the 4th ACM international conference on Web search and data mining (WSDM '11), February 9–12, 2011 , Hong Kong, China
Yessenalina, Ainur; Yue, Yisong et al. (2010) Multi-level structured models for document-level sentiment classification Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing; Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 9-11 October 2010 , Cambridge, MA
Yue, Yisong; Gao, Yue et al. (2010) Learning More Powerful Test Statistics for Click-Based Retrieval Evaluation Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval; 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10), 19-23 July 2010 , Geneva, Switzerland
Yue, Yisong; Patel, Rajan et al. (2010) Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data Proceedings of the 19th international conference on World wide web; Proceedings of the 19th international conference on World wide web (WWW '10), April 26–30, 2010 , Raleigh, NC
Yue, Yisong; Joachims, Thorsten (2009) Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem Proceedings of the 26th International Conference on Machine Learning; ICML '09: 26th Annual International Conference on Machine Learning , June 14-18, 2009 , Montreal, Canada
Yue, Yisong; Joachims, Thorsten (2008) Predicting Diverse Subsets Using Structural SVMs Proceedings of the 25th International Conference on Machine Learning; Proceedings of the 25th international conference on Machine learning; 25th International Conference on Machine Learning (ICML '08), 5-9 July 2008 , Helsinki, Finland
Yue, Yisong; Finley, Thomas et al. (2007) A Support Vector Method for Optimizing Average Precision Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval; 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