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Number of items: 86.

2021

Taylor, Andrew J. and Singletary, Andrew and Yue, Yisong et al. (2021) A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control Systems Letters, 5 (3). pp. 1019-1024. ISSN 2475-1456. https://resolver.caltech.edu/CaltechAUTHORS:20200707-104322686

2020

Rivière, Benjamin and Hönig, Wolfgang and Yue, Yisong 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, 5 (3). pp. 4249-4256. ISSN 2377-3766. https://resolver.caltech.edu/CaltechAUTHORS:20200514-141356088

Yu, Chenkai and Shi, Guanya and Chung, Soon-Jo et al. (2020) The Power of Predictions in Online Control. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200707-094715120

Nakka, Yashwanth Kumar and Liu, Anqi and Shi, Guanya et al. (2020) Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200526-150616242

Song, Jialin and Lanka, Ravi and Yue, Yisong et al. (2020) A General Large Neighborhood Search Framework for Solving Integer Programs. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200526-151215262

Tucker, Maegan and Cheng, Myra and Novoseller, Ellen et al. (2020) Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200526-152132290

Shi, Guanya and Lin, Yiheng and Chung, Soon-Jo et al. (2020) Beyond No-Regret: Competitive Control via Online Optimization with Memory. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200214-105606928

Park, Jung Yeon and Carr, Kenneth Theo and Zhang, Stephan et al. (2020) Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200214-105610460

Bernstein, Jeremy and Vahdat, Arash and Yue, Yisong et al. (2020) On the distance between two neural networks and the stability of learning. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200214-105602886

2019

Taylor, Andrew J. and Singletary, Andrew and Yue, Yisong et al. (2019) Learning for Safety-Critical Control with Control Barrier Functions. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200214-105558873

Jin, Baihong and Tan, Yingshui and Nettekoven, Alexander et al. (2019) An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE , Piscataway, NJ, pp. 1008-1015. ISBN 978-1-7281-4550-1. https://resolver.caltech.edu/CaltechAUTHORS:20190905-154317486

Verma, Abhinav and Le, Hoang M. and Yue, Yisong et al. (2019) Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning. In: 33rd Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Inc. , Art. No. 9705. https://resolver.caltech.edu/CaltechAUTHORS:20190905-154314013

Ghosh, Nikhil and Chen, Yuxin and Yue, Yisong (2019) Landmark Ordinal Embedding. In: 33rd Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Inc. , Art. No. 9326. https://resolver.caltech.edu/CaltechAUTHORS:20200109-101416499

Liu, Yukai and Yu, Rose and Zheng, Stephan et al. (2019) NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. In: 33rd Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Inc. , Art. No. 9302. https://resolver.caltech.edu/CaltechAUTHORS:20190205-100357088

Hunziker, Anette and Chen, Yuxin and Mac Aodha, Oisin et al. (2019) Teaching Multiple Concepts to Forgetful Learners. In: 33rd Conference on Neural Information Processing Systems. , Neural Information Processing Systems Foundation, Inc., Art. No. 8659. https://resolver.caltech.edu/CaltechAUTHORS:20180613-133348044

Voloshin, Cameron and Le, Hoang M. and Jiang, Nan et al. (2019) Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200109-100747650

Liu, Anqi and Liu, Hao and Anandkumar, Anima et al. (2019) Triply Robust Off-Policy Evaluation. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200109-085907638

Taylor, Andrew J. and Dorobantu, Victor D. and Le, Hoang M. et al. (2019) Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE , Piscataway, NJ, pp. 6878-6884. ISBN 978-1-7281-4004-9. https://resolver.caltech.edu/CaltechAUTHORS:20190327-085838590

Zhan, Eric and Tseng, Albert and Yue, Yisong et al. (2019) Learning Calibratable Policies using Programmatic Style-Consistency. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200109-101924329

Tucker, Maegan and Novoseller, Ellen and Kann, Claudia et al. (2019) Preference-Based Learning for Exoskeleton Gait Optimization. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200109-095946819

Shi, Guanya and Hönig, Wolfgang and Yue, Yisong et al. (2019) Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20191029-155055963

Novoseller, Ellen R. and Sui, Yanan and Yue, Yisong et al. (2019) Dueling Posterior Sampling for Preference-Based Reinforcement Learning. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190905-154320945

Song, Jialin and Lanka, Ravi and Yue, Yisong et al. (2019) Co-training for Policy Learning. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190905-154310582

Cheng, Richard and Verma, Abhinav and Orosz, Gábor et al. (2019) Control Regularization for Reduced Variance Reinforcement Learning. Proceedings of Machine Learning Research, 97 . pp. 1141-1150. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190905-154302241

Ahmadi, Mohamadreza and Wu, Bo and Chen, Yuxin et al. (2019) Barrier Certificates for Assured Machine Teaching. In: 2019 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 3658-3663. ISBN 978-1-5386-7926-5. https://resolver.caltech.edu/CaltechAUTHORS:20190205-102249789

Liu, Anqi and Shi, Guanya and Chung, Soon-Jo et al. (2019) Robust Regression for Safe Exploration in Control. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190905-154307157

Le, Hoang M. and Voloshin, Cameron and Yue, Yisong (2019) Batch Policy Learning under Constraints. Proceedings of Machine Learning Research, 97 . pp. 3703-3712. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190327-085845627

Shi, Guanya and Shi, Xichen and O'Connell, Michael et al. (2019) Neural Lander: Stable Drone Landing Control using Learned Dynamics. In: 2019 International Conference on Robotics and Automation (ICRA). IEEE , Piscataway, NJ, pp. 9784-9790. ISBN 978-1-5386-6027-0. https://resolver.caltech.edu/CaltechAUTHORS:20190205-100744248

Yang, Kevin K. and Chen, Yuxin and Lee, Alycia et al. (2019) Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. Proceedings of Machine Learning Research, 89 . pp. 3410-3419. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190905-154254753

Song, Jialin and Chen, Yuxin and Yue, Yisong (2019) A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. Proceedings of Machine Learning Research, 89 . pp. 3158-3167. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190205-101951355

Taylor, Andrew J. and Dorobantu, Victor D. and Krishnamoorthy, Meera et al. (2019) A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190327-085842025

Ross, Zachary E. and Yue, Yisong and Meier, Men-Andrin et al. (2019) PhaseLink: A Deep Learning Approach to Seismic Phase Association. Journal of Geophysical Research. Solid Earth, 124 (1). pp. 856-869. ISSN 2169-9313. https://resolver.caltech.edu/CaltechAUTHORS:20181213-160905447

Meier, Men-Andrin and Ross, Zachary E. and Ramachandran, Anshul et al. (2019) Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning. Journal of Geophysical Research. Solid Earth, 124 (1). pp. 788-800. ISSN 2169-9313. https://resolver.caltech.edu/CaltechAUTHORS:20190103-121520006

2018

Song, Jialin and Tokpanov, Yury S. and Chen, Yuxin et al. (2018) Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-101105728

Marino, Joseph and Cvitkovic, Milan and Yue, Yisong (2018) A General Method for Amortizing Variational Filtering. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). Advances in Neural Information Processing Systems. No.31. Curran Associates , Red Hook, NY, pp. 1-12. https://resolver.caltech.edu/CaltechAUTHORS:20190205-101451102

Marino, Joseph and Yue, Yisong and Mandt, Stephan (2018) Iterative Amortized Inference. Proceedings of Machine Learning Research, 80 . pp. 3403-3412. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190506-143507942

Sui, Yanan and Zhuang, Vincent and Burdick, Joel W. et al. (2018) Stagewise Safe Bayesian Optimization with Gaussian Processes. Proceedings of Machine Learning Research, 80 . pp. 4781-4789. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190205-102511954

Mac Aodha, Oisin and Su, Shihan and Chen, Yuxin et al. (2018) Teaching categories to human learners with visual explanations. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE , Piscataway, NJ, pp. 3820-3828. ISBN 978-1-5386-6420-9. https://resolver.caltech.edu/CaltechAUTHORS:20180613-143607692

Song, Jialin and Lanka, Ravi and Zhao, Albert et al. (2018) Learning to Search via Retrospective Imitation. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-111204454

Sha, Long and Lucey, Patrick and Yue, Yisong 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, 25 (2). Art. No. 13. ISSN 1073-0516. https://resolver.caltech.edu/CaltechAUTHORS:20180412-124227369

Chen, Yuxin and Mac Aodha, Oisin and Su, Shihan et al. (2018) Near-Optimal Machine Teaching via Explanatory Teaching Sets. Proceedings of Machine Learning Research, 84 . pp. 1970-1978. ISSN 1938-7228. https://proceedings.mlr.press/v84/chen18g.html

Zhan, Eric and Zheng, Stephan and Yue, Yisong et al. (2018) Generating Multi-Agent Trajectories using Programmatic Weak Supervision. In: Seventh International Conference on Learning Representations (ICLR 2019), 6-9 May 2019, New Orleans, LA. https://resolver.caltech.edu/CaltechAUTHORS:20190410-120555166

Zhan, Eric and Zheng, Stephan and Yue, Yisong et al. (2018) Generative Multi-Agent Behavioral Cloning. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-111434225

Dathathri, Sumanth and Zheng, Stephan and Murray, Richard M. et al. (2018) Detecting Adversarial Examples via Neural Fingerprinting. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-112328842

Le, Hoang M. and Jiang, Nan and Agarwal, Alekh et al. (2018) Hierarchical Imitation and Reinforcement Learning. Proceedings of Machine Learning Research, 80 . pp. 2917-2926. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190205-113025214

Zheng, Stephan and Yu, Rose and Yue, Yisong (2018) Multi-resolution Tensor Learning for Large-Scale Spatial Data. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20181023-101356776

Chen, Yuxin and Singla, Adish and Mac Aodha, Oisin et al. (2018) Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). Advances in Neural Information Processing Systems. No.31. Curran Associates , Red Hook, NY, pp. 1-11. https://resolver.caltech.edu/CaltechAUTHORS:20180613-144817832

2017

Su, Shihan and Chen, Yuxin and Mac Aodha, Oisin et al. (2017) Interpretable Machine Teaching via Feature Feedback. In: NIPS 2017 Workshop on Teaching Machines, Robots, and Humans, December 4-9, 2017, Long Beach, CA. https://resolver.caltech.edu/CaltechAUTHORS:20180622-113758617

Yu, Rose and Zheng, Stephan and Anandkumar, Anima et al. (2017) Long-term Forecasting using Tensor-Train RNNs. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-113450468

Sha, Long and Lucey, Patrick and Zheng, Stephan et al. (2017) Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-113745110

Le, Hoang M. and Yue, Yisong and Carr, Peter et al. (2017) Coordinated Multi-Agent Imitation Learning. Proceedings of Machine Learning Research, 70 . pp. 1995-2003. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20170829-143913716

Sui, Yanan and Yue, Yisong and Burdick, Joel W. (2017) Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190205-133559444

Deng, Zhiwei and Navarathna, Rajitha and Carr, Peter et al. (2017) Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Piscataway, NJ. ISBN 978-1-5386-0457-1. https://resolver.caltech.edu/CaltechAUTHORS:20170721-141656092

Taylor, Sarah and Kim, Taehwan and Yue, Yisong et al. (2017) A deep learning approach for generalized speech animation. ACM Transactions on Graphics, 36 (4). Art. 93. ISSN 0730-0301. https://resolver.caltech.edu/CaltechAUTHORS:20170814-143407341

Sui, Yanan and Zhuang, Vincent and Burdick, Joel W. et al. (2017) Multi-dueling Bandits with Dependent Arms. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190410-120658254

Eyjolfsdottir, Eyrun and Branson, Kristin and Yue, Yisong et al. (2017) Learning recurrent representations for hierarchical behavior modeling. In: 5th International Conference on Learning Representations (ICLR), 24-26 April 2017, Toulon, France. https://resolver.caltech.edu/CaltechAUTHORS:20170530-090151819

Le, Hoang M. and Carr, Peter and Yue, Yisong et al. (2017) Data-Driven Ghosting using Deep Imitation Learning. In: MIT Sloan Sports Analytics Conference, March 3-4, 2017, Boston, MA. https://resolver.caltech.edu/CaltechAUTHORS:20170316-121646643

2016

Zheng, Stephan and Yue, Yisong and Lucey, Patrick (2016) Generating Long-term Trajectories Using Deep Hierarchical Networks. In: Advances in Neural Information Processing Systems (NIPS 2016). Vol.3. Curran Associates , Red Hook, NY, pp. 1551-1559. ISBN 9781510838819. https://resolver.caltech.edu/CaltechAUTHORS:20170530-090151984

Ruggero Ronchi, Matteo and Kim, Joon Sik and Yue, Yisong (2016) A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. In: 16th IEEE International Conference on Data Mining (ICDM). IEEE International Conference on Data Mining. IEEE , Piscataway, NJ, pp. 1179-1184. ISBN 978-1-5090-5473-2. https://resolver.caltech.edu/CaltechAUTHORS:20170616-103109457

Le, Hoang M. and Kang, Andrew and Yue, Yisong et al. (2016) Smooth Imitation Learning for Online Sequence Prediction. Proceedings of Machine Learning Research, 48 . pp. 680-688. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20160628-161544348

Chen, Jianhui and Le, Hoang M. and Carr, Peter et al. (2016) Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition. IEEE , Piscataway, NJ, pp. 4688-4696. ISBN 978-1-4673-8851-1. https://resolver.caltech.edu/CaltechAUTHORS:20160628-154742818

Sha, Long and Lucey, Patrick and Yue, Yisong et al. (2016) Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval. In: Proceedings of the 21st International Conference on Intelligent User Interfaces. Association for Computing Machinery , New York, NY, pp. 336-347. ISBN 978-1-4503-4137-0. https://resolver.caltech.edu/CaltechAUTHORS:20160316-093534396

Krishnan, Kaushik and Marla, Lavanya and Yue, Yisong (2016) Robust Ambulance Allocation Using Risk-based Metrics. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS). IEEE , Piscataway, NJ, pp. 1-6. ISBN 978-1-4673-9622-6. https://resolver.caltech.edu/CaltechAUTHORS:20160922-115002462

2015

Liu, Siyuan and Yue, Yisong and Krishnan, Ramayya (2015) Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments. IEEE Transactions on Knowledge and Data Engineering, 27 (9). pp. 2438-2451. ISSN 1041-4347. https://resolver.caltech.edu/CaltechAUTHORS:20150827-123713117

Kim, Taehwan and Taylor, Sarah and Yue, Yisong et al. (2015) A Decision Tree Framework for Spatiotemporal Sequence Prediction. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , New York, NY, pp. 577-586. ISBN 978-1-4503-3664-2. https://resolver.caltech.edu/CaltechAUTHORS:20150928-132143651

He, Bryan and Yue, Yisong (2015) Smooth Interactive Submodular Set Cover. In: Advances in Neural Information Processing Systems 28 (NIPS 2015). Advances in Neural Information Processing Systems. No.28. Nueral Information Processing Systems , La Jolla, CA. https://resolver.caltech.edu/CaltechAUTHORS:20160401-171139889

2014

Bialkowski, Alina and Lucey, Patrick and Carr, Peter et al. (2014) Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data. In: 2014 IEEE International Conference on Data Mining Workshop. IEEE , Piscataway, NJ, pp. 9-14. ISBN 978-1-4799-4274-9. https://resolver.caltech.edu/CaltechAUTHORS:20170721-142537932

Bialkowski, Alina and Lucey, Patrick and Carr, Peter et al. (2014) Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. In: 2014 IEEE International Conference on Data Mining Workshop. IEEE , Piscataway, NJ, pp. 725-730. ISBN 978-1-4799-4274-9. https://resolver.caltech.edu/CaltechAUTHORS:20170721-144245153

Yue, Yisong and Lucey, Patrick and Carr, Peter et al. (2014) Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. In: 2014 IEEE International Conference on Data Mining Workshop. IEEE , Piscataway, NJ, pp. 670-679. ISBN 978-1-4799-4274-9. https://resolver.caltech.edu/CaltechAUTHORS:20170721-143055589

Yue, Yisong and Wang, Chong and El-Arini, Khalid et al. (2014) Personalized Collaborative Clustering. In: Proceedings of the 23rd international conference on World wide web. ACM , New York, NY, pp. 75-84. https://resolver.caltech.edu/CaltechAUTHORS:20140910-144514868

2013

Ross, Stephane and Zhou, Jiaji and Yue, Yisong et al. (2013) Learning Policies for Contextual Submodular Prediction. Proceedings of Machine Learning Research, 28 (3). pp. 1364-1372. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190327-085831526

Zhou, Jiaji and Ross, Stephane and Yue, Yisong et al. (2013) Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. In: Inferning: Interactions between Inference and Learning (WINFERN), 20 June 2013, Atlanta, GA. (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190327-085828098

Liu, Siyuan and Yue, Yisong and Krishnan, Ramayya (2013) Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models. In: Proceedings of the 19th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining. Association of Computing Machinery , New York, pp. 704-712. ISBN 978-1-4503-2174-7. (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20140910-105714525

2012

Yue, Yisong and Broder, Josef and Kleinberg, Robert et al. (2012) The K-armed dueling bandits problem. Journal of Computer and System Sciences, 78 (5). pp. 1538-1556. ISSN 0022-0000. https://resolver.caltech.edu/CaltechAUTHORS:20140908-154452921

Yue, Yisong and Hong, Sue Ann and Guestrin, Carlos (2012) Hierarchical Exploration for Accelerating Contextual Bandits. In: ICML'12 Proceedings of the 29th International Coference on International Conference on Machine Learning. International Machine Learning Society , Madison, WI, pp. 979-986. ISBN 978-1-4503-1285-1. https://resolver.caltech.edu/CaltechAUTHORS:20190327-085835163

Chapelle, Olivier and Joachims, Thorsten and Radlinski, Filip et al. (2012) Large-scale validation and analysis of interleaved search evaluation. ACM Transactions on Information Systems, 30 (1). Art. No. 6. ISSN 1046-8188. https://resolver.caltech.edu/CaltechAUTHORS:20140908-154928426

2011

Yue, Yisong and Guestrin, Carlos (2011) Linear Submodular Bandits and their Application to Diversified Retrieval. In: Advances in Neural Information Processing Systems 24. Advances in Neural Information Processing Systems. No.24. Neural Information Processing Systems , Red Hook, NY, pp. 1-9. ISBN 9781618395993. https://resolver.caltech.edu/CaltechAUTHORS:20190416-081616693

Radlinski, Filip and Yue, Yisong (2011) Practical Online Retrieval Evaluation. In: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval. ACM , New York, NY, p. 1301. ISBN 978-1-4503-0757-4. https://resolver.caltech.edu/CaltechAUTHORS:20140910-142307889

Brandt, Christina and Joachims, Thorsten and Yue, Yisong et al. (2011) Dynamic Ranked Retrieval. In: Proceedings of the 4th ACM international conference on Web search and data mining. ACM , New York, NY, pp. 247-256. ISBN 978-1-4503-0493-1. https://resolver.caltech.edu/CaltechAUTHORS:20140910-134106609

2010

Yessenalina, Ainur and Yue, Yisong and Cardie, Claire (2010) Multi-level structured models for document-level sentiment classification. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. ACM , New York, NY, pp. 1046-1056. https://resolver.caltech.edu/CaltechAUTHORS:20140910-132610594

Yue, Yisong and Gao, Yue and Chapelle, Olivier et al. (2010) Learning More Powerful Test Statistics for Click-Based Retrieval Evaluation. In: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval. ACM , New York, NY, pp. 507-514. ISBN 978-1-4503-0153-4. https://resolver.caltech.edu/CaltechAUTHORS:20140910-140102637

Yue, Yisong and Patel, Rajan and Roehrig, Hein (2010) Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data. In: Proceedings of the 19th international conference on World wide web. Association for Computing Machinery , New York, pp. 1011-1018. ISBN 978-1-60558-799-8. https://resolver.caltech.edu/CaltechAUTHORS:20140910-141508773

2009

Joachims, Thorsten and Hofmann, Thomas and Yue, Yisong (2009) Predicting Structured Objects with Support Vector Machines. Communications of the ACM, 52 (11). pp. 97-104. ISSN 0001-0782. https://resolver.caltech.edu/CaltechAUTHORS:20140908-153800463

Yue, Yisong and Joachims, Thorsten (2009) Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem. In: Proceedings of the 26th International Conference on Machine Learning. Association of Computing Machinery , New York, pp. 1201-1208. ISBN 978-1-60558-516-1. https://resolver.caltech.edu/CaltechAUTHORS:20140910-105428880

2008

Yue, Yisong and Joachims, Thorsten (2008) Predicting Diverse Subsets Using Structural SVMs. In: Proceedings of the 25th International Conference on Machine Learning. ACM , New York, NY, pp. 1224-1231. ISBN 978-1-60558-205-4. https://resolver.caltech.edu/CaltechAUTHORS:20140910-105531620

2007

Yue, Yisong and Finley, Thomas and Radlinski, Filip et al. (2007) A Support Vector Method for Optimizing Average Precision. In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM , New York, NY, pp. 271-278. ISBN 978-1-59593-597-7. https://resolver.caltech.edu/CaltechAUTHORS:20140910-134938693

This list was generated on Mon Aug 10 09:51:48 2020 PDT.