Voloshin, Cameron; Verma, Abhinav et al. (2023) Eventual Discounting Temporal Logic Counterfactual Experience Replay arXiv;
Sun, Jennifer J.; Karashchuk, Pierre et al. (2022) BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos arXiv;
Huang, Yujia; Jimenez Rodriguez, Ivan Dario et al. (2022) FI-ODE: Certified and Robust Forward Invariance in Neural ODEs arXiv;
Sun, Jennifer J.; Tjandrasuwita, Megan et al. (2022) Neurosymbolic Programming for Science arXiv;
Tucker, Maegan; Li, Kejun et al. (2022) POLAR: Preference Optimization and Learning Algorithms for Robotics arXiv;
Sun, Jennifer J.; Ulmer, Andrew et al. (2022) The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior arXiv;
Dorobantu, Victor D.; Azizzadenesheli, Kamyar et al. (2022) Compactly Restrictable Metric Policy Optimization Problems arXiv;
Voloshin, Cameron; Le, Hoang M. et al. (2022) Policy Optimization with Linear Temporal Logic Constraints arXiv;
Talukder, Sabera; Sun, Jennifer J. et al. (2022) Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings arXiv;
Farhang, Alexander R.; Bernstein, Jeremy D. et al. (2022) Investigating Generalization by Controlling Normalized Margin Proceedings of Machine Learning Research; Vol. 162; International Conference on Machine Learning (ICML), 17-23 July 2022 , Baltimore, MD
O'Connell, Michael; Shi, Guanya et al. (2022) Neural-Fly enables rapid learning for agile flight in strong winds Science Robotics; Vol. 7; No. 66;
Jimenez Rodriguez, Ivan Dario; Csomay-Shanklin, Noel et al. (2022) Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies Proceedings of Machine Learning Research; Vol. 168; 4th Annual Learning for Dynamics and Control Conference, 23-24 June 2022 , Palo Alto, CA
Daftry, Shreyansh; Abcouwer, Neil et al. (2022) MLNav: Learning to Safely Navigate on Martian Terrains IEEE Robotics and Automation Letters; Vol. 7; No. 2;
Li, Kejun; Tucker, Maegan et al. (2022) Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics IEEE Robotics and Automation Letters; Vol. 7; No. 2;
Shi, Guanya; Hönig, Wolfgang et al. (2022) Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions IEEE Transactions on Robotics; Vol. 38; No. 2;
Taylor, Andrew J.; Dorobantu, Victor D. et al. (2022) Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models arXiv;
Cosner, Ryan K.; Jimenez Rodriguez, Ivan D. et al. (2022) Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision arXiv;
Jimenez Rodriguez, Ivan Dario; Ames, Aaron D. et al. (2022) LyaNet: A Lyapunov Framework for Training Neural ODEs Proceedings of Machine Learning Research; International Conference on Machine Learning (ICML), 17-23 July 2022 , Baltimore, MD
Jimenez Rodriguez, Ivan Dario; Ames, Aaron D. et al. (2022) LyaNet: A Lyapunov Framework for Training Neural ODEs arXiv;
Taylor, Andrew J.; Dorobantu, Victor D. et al. (2022) Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs IEEE Control Systems Letters; Vol. 6;
Cosner, Ryan K.; Tucker, Maegan et al. (2021) Safety-Aware Preference-Based Learning for Safety-Critical Control arXiv;
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
Sun, Jennifer J.; Ryou, Serim et al. (2021) Self-Supervised Keypoint Discovery in Behavioral Videos arXiv;
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
Tseng, Albert; Sun, Jennifer J. et al. (2021) Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis arXiv;
Wittmann, Bruce J.; Yue, Yisong et al. (2021) Informed training set design enables efficient machine learning-assisted directed protein evolution Cell Systems; Vol. 12; No. 11;
Bernstein, Jeremy; Farhang, Alex et al. (2021) Kernel Interpolation as a Bayes Point Machine arXiv;
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
Zhan, Eric; Sun, Jennifer J. et al. (2021) Unsupervised Learning of Neurosymbolic Encoders arXiv;
Taylor, Andrew J.; Singletary, Andrew et al. (2021) A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety IEEE Control Systems Letters; Vol. 5; No. 3;
Liu, Yang; Bernstein, Jeremy et al. (2021) Learning by Turning: Neural Architecture Aware Optimisation Proceedings of Machine Learning Research; Vol. 139; 38th International Conference on Machine Learning, 18-24 July 2021 , [Online Only]
Tjandrasuwita, Megan; Sun, Jennifer J. et al. (2021) Interpreting Expert Annotation Differences in Animal Behavior arXiv;
Ferber, Aaron; Song, Jialin et al. (2021) Learning Pseudo-Backdoors for Mixed Integer Programs arXiv;
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]
Yin, Tianwei; Wu, Zihui et al. (2021) End-to-End Sequential Sampling and Reconstruction for MR Imaging arXiv;
Sun, Jennifer J.; Karigo, Tomomi et al. (2021) The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions arXiv;
Zhao, Eric; Liu, Anqi et al. (2021) Active Learning under Label Shift Proceedings of Machine Learning Research; Vol. 130; 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 13-15 April 2021 , San Diego, CA
Nakka, Yashwanth Kumar; Liu, Anqi et al. (2021) Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems IEEE Robotics and Automation Letters; Vol. 6; No. 2;
Qin, Yidan; Allan, Max et al. (2021) Learning Invariant Representation of Tasks for Robust Surgical State Estimation IEEE Robotics and Automation Letters; Vol. 6; No. 2;
Voloshin, Cameron; Jiang, Nan et al. (2021) Minimax Model Learning Proceedings of Machine Learning Research; Vol. 130; 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 13-15 April 2021 , San Diego, CA
Ho, Dimitar; Le, Hoang M. et al. (2021) Online Robust Control of Nonlinear Systems with Large Uncertainty Proceedings of Machine Learning Research; Vol. 130; 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 13-15 April 2021 , San Diego, CA
Bernstein, Jeremy; Yue, Yisong (2021) Computing the Information Content of Trained Neural Networks arXiv;
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
Cross, Logan; Cockburn, Jeffrey et al. (2021) Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments Neuron; Vol. 109; No. 4;
Maser, Michael R.; Cui, Alexander Y. et al. (2021) Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions Journal of Chemical Information and Modeling; Vol. 61; No. 1;
Liu, Anqi; Liu, Hao et al. (2021) Disentangling Observed Causal Effects from Latent Confounders using Method of Moments arXiv;
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]
Barnum, George; Talukder, Sabera et al. (2020) On the Benefits of Early Fusion in Multimodal Representation Learning arXiv;
Talukder, Sabera; Raghavan, Guruprasad et al. (2020) Architecture Agnostic Neural Networks arXiv;
Yu, Chenkai; Shi, Guanya et al. (2020) Competitive Control with Delayed Imperfect Information arXiv;
Marino, Joseph; Piché, Alexandre et al. (2020) Iterative Amortized Policy Optimization arXiv;
Wang, Haoxuan; Liu, Anqi et al. (2020) Distributionally Robust Learning for Unsupervised Domain Adaptation arXiv;
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
Novoseller, Ellen R.; Wei, Yibing et al. (2020) Dueling Posterior Sampling for Preference-Based Reinforcement Learning Proceedings of Machine Learning Research; Vol. 124; 36th Conference on Uncertainty in Artificial Intelligence (UAI), 3-6 August 2020 , [Online Only]
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
Shah, Ameesh; Zhan, Eric et al. (2020) Learning Differentiable Programs with Admissible Neural Heuristics arXiv;
Ryou, Serim; Maser, Michael R. et al. (2020) Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions arXiv;
Rivière, Benjamin; Hönig, Wolfgang et al. (2020) GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning IEEE Robotics and Automation Letters; Vol. 5; No. 3;
Kumar, Akash; Singla, Adish et al. (2020) Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries arXiv;
Prajapat, Manish; Azizzadenesheli, Kamyar et al. (2020) Competitive Policy Optimization arXiv;
Yu, Chenkai; Shi, Guanya et al. (2020) The Power of Predictions in Online Control arXiv;
Taylor, Andrew J.; Singletary, Andrew et al. (2020) Learning for Safety-Critical Control with Control Barrier Functions Proceedings of Machine Learning Research; Vol. 120; 2nd Annual Conference on Learning for Dynamics and Control, 10-11 June 2020 , [Online Only]
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
Song, Jialin; Lanka, Ravi et al. (2020) A General Large Neighborhood Search Framework for Solving Integer Programs arXiv;
Park, Jung Yeon; Carr, Kenneth Theo et al. (2020) Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis arXiv;
Shi, Guanya; Lin, Yiheng et al. (2020) Online Optimization with Memory and Competitive Control arXiv;
Bernstein, Jeremy; Vahdat, Arash et al. (2020) On the distance between two neural networks and the stability of learning arXiv;
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
Voloshin, Cameron; Le, Hoang M. et al. (2019) Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning arXiv;
Liu, Anqi; Liu, Hao et al. (2019) Triply Robust Off-Policy Evaluation arXiv;
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
Zhan, Eric; Tseng, Albert et al. (2019) Learning Calibratable Policies using Programmatic Style-Consistency arXiv;
Song, Jialin; Lanka, Ravi et al. (2019) Co-training for Policy Learning arXiv;
Cheng, Richard; Verma, Abhinav et al. (2019) Control Regularization for Reduced Variance Reinforcement Learning Proceedings of Machine Learning Research; Vol. 97; 36th International Conference on Machine Learning, 9-15 June 2019 , Long Beach, CA
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
Liu, Anqi; Shi, Guanya et al. (2019) Robust Regression for Safe Exploration in Control arXiv;
Le, Hoang M.; Voloshin, Cameron et al. (2019) Batch Policy Learning under Constraints Proceedings of the 36th International Conference on Machine Learning; Proceedings of Machine Learning Research; Vol. 97; 36th International Conference on Machine Learning, 9-15 June 2019 , Long Beach, CA
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
Song, Jialin; Chen, Yuxin et al. (2019) A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Proceedings of Machine Learning Research; Vol. 89; 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019 , Okinawa, Japan
Yang, Kevin K.; Chen, Yuxin et al. (2019) Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design Proceedings of Machine Learning Research; Vol. 89; 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019 , Okinawa, Japan
Ross, Zachary E.; Yue, Yisong et al. (2019) PhaseLink: A Deep Learning Approach to Seismic Phase Association Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1;
Meier, Men-Andrin; Ross, Zachary E. et al. (2019) Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1;
Song, Jialin; Tokpanov, Yury S. et al. (2018) Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes arXiv; 32nd Conference on Neural Information Processing Systems Workshop on Machine Learning for Molecules (NIPS 2018), 2-8 December 2018 , Montréal, Canada (Submitted)
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
Marino, Joseph; Yue, Yisong et al. (2018) Iterative Amortized Inference Proceedings of the 35th International Conference on Machine Learning; Proceedings of Machine Learning Research; Vol. 80; 35th International Conference on Machine Learning, 10-15 July 2018 , Stockholm, Sweden
Sui, Yanan; Zhuang, Vincent et al. (2018) Stagewise Safe Bayesian Optimization with Gaussian Processes Proceedings of Machine Learning Research; Vol. 80; 35th International Conference on Machine Learning, 10-15 July 2018 , Stockholm, Sweden
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
Song, Jialin; Lanka, Ravi et al. (2018) Learning to Search via Retrospective Imitation arXiv; (Submitted)
Sha, Long; Lucey, Patrick et al. (2018) Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics ACM Transactions on Computer-Human Interaction; Vol. 25; No. 2;
Chen, Yuxin; Mac Aodha, Oisin et al. (2018) Near-Optimal Machine Teaching via Explanatory Teaching Sets Proceedings of Machine Learning Research; Vol. 84; Twenty-First International Conference on Artificial Intelligence and Statistics, 9-11 April 2018 , Lanzarote, Canary Islands
Zhan, Eric; Zheng, Stephan et al. (2018) Generating Multi-Agent Trajectories using Programmatic Weak Supervision arXiv; Seventh International Conference on Learning Representations (ICLR 2019), 6-9 May 2019 , New Orleans, LA
Zhan, Eric; Zheng, Stephan et al. (2018) Generative Multi-Agent Behavioral Cloning arXiv; (Submitted)
Dathathri, Sumanth; Zheng, Stephan et al. (2018) Detecting Adversarial Examples via Neural Fingerprinting arXiv; (Submitted)
Le, Hoang M.; Jiang, Nan et al. (2018) Hierarchical Imitation and Reinforcement Learning Proceedings of Machine Learning Research; Vol. 80; 35th International Conference on Machine Learning, 10-15 July 2018 , Stockholm, Sweden
Zheng, Stephan; Yu, Rose et al. (2018) Multi-resolution Tensor Learning for Large-Scale Spatial Data (Submitted)
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
Su, Shihan; Chen, Yuxin et al. (2017) Interpretable Machine Teaching via Feature Feedback NIPS 2017 Workshop on Teaching Machines, Robots, and Humans, December 4-9, 2017 , Long Beach, CA
Yu, Rose; Zheng, Stephan et al. (2017) Long-term Forecasting using Tensor-Train RNNs arXiv; (Submitted)
Sha, Long; Lucey, Patrick et al. (2017) Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories arXiv; 11th ACM International Conference on Web Search and Data Mining (WSDM’18), 5-9 February 2018 , Los Angeles, CA (Submitted)
Le, Hoang M.; Yue, Yisong et al. (2017) Coordinated Multi-Agent Imitation Learning Proceedings of Machine Learning Research; Proceedings of Machine Learning Research; Vol. 70; 34th International Conference on Machine Learning (ICML), 6-11 August 2017 , Sydney, Australia
Sui, Yanan; Yue, Yisong et al. (2017) Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces arXiv; (Submitted)
Taylor, Sarah; Kim, Taehwan et al. (2017) A deep learning approach for generalized speech animation ACM Transactions on Graphics; Vol. 36; No. 4;
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
Sui, Yanan; Zhuang, Vincent et al. (2017) Multi-dueling Bandits with Dependent Arms arXiv;
Eyjolfsdottir, Eyrun; Branson, Kristin et al. (2017) Learning recurrent representations for hierarchical behavior modeling 5th International Conference on Learning Representations (ICLR), 24-26 April 2017 , Toulon, France
Le, Hoang M.; Carr, Peter et al. (2017) Data-Driven Ghosting using Deep Imitation Learning MIT Sloan Sports Analytics Conference, March 3-4, 2017 , Boston, MA
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
Le, Hoang M.; Kang, Andrew et al. (2016) Smooth Imitation Learning for Online Sequence Prediction Proceedings of the 33rd International Conference on Machine Learning; Proceedings of Machine Learning Research; Vol. 48; International Conference on Machine Learning (ICML), 19-24 June 2016 , New York, NY
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
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;
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
Ross, Stephane; Zhou, Jiaji et al. (2013) Learning Policies for Contextual Submodular Prediction ICML'13 Proceedings of the 30th International Conference on International Conference on Machine Learning ; Proceedings of Machine Learning Research; Vol. 28; No. 3; 30th International Conference on International Conference on Machine Learning (ICML'13), 17-19 June 2013 , Atlanta, GA
Zhou, Jiaji; Ross, Stephane et al. (2013) Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization arXiv; Inferning: Interactions between Inference and Learning (WINFERN), 20 June 2013 , Atlanta, GA (Submitted)
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; Broder, Josef et al. (2012) The K-armed dueling bandits problem Journal of Computer and System Sciences; Vol. 78; No. 5;
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
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;
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
Joachims, Thorsten; Hofmann, Thomas et al. (2009) Predicting Structured Objects with Support Vector Machines Communications of the ACM; Vol. 52; No. 11;
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