<h1>Yue, Yisong</h1> <h2>Article from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2> <ul> <li>Laubscher, Emily and Wang, Xuefei (Julie), el al. (2024) <a href="https://authors.library.caltech.edu/records/6xhb5-f2797">Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning</a>; Cell Systems; Vol. 15; No. 5; 475-482.e6; <a href="https://doi.org/10.1016/j.cels.2024.04.006">10.1016/j.cels.2024.04.006</a></li> <li>Dorobantu, Victor D. and Azizzadenesheli, Kamyar, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230705-704041500.16">Compactly Restrictable Metric Policy Optimization Problems</a>; IEEE Transactions on Automatic Control; Vol. 68; No. 5; 3115-3122; <a href="https://doi.org/10.1109/tac.2022.3217269">10.1109/tac.2022.3217269</a></li> <li>Farhang, Alexander R. and Bernstein, Jeremy D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212426792">Investigating Generalization by Controlling Normalized Margin</a>; Proceedings of Machine Learning Research; Vol. 162; 6324-6336; <a href="https://doi.org/10.48550/arXiv.arXiv.2205.03940">10.48550/arXiv.arXiv.2205.03940</a></li> <li>O'Connell, Michael and Shi, Guanya, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220505-792409800">Neural-Fly enables rapid learning for agile flight in strong winds</a>; Science Robotics; Vol. 7; No. 66; Art. No. eabm6597; <a href="https://doi.org/10.1126/scirobotics.abm6597">10.1126/scirobotics.abm6597</a></li> <li>Jimenez Rodriguez, Ivan Dario and Csomay-Shanklin, Noel, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-194300374">Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies</a>; Proceedings of Machine Learning Research; Vol. 168; 1060-1072; <a href="https://doi.org/10.48550/arXiv.2204.08120">10.48550/arXiv.2204.08120</a></li> <li>Li, Kejun and Tucker, Maegan, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220210-721740000">Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics</a>; IEEE Robotics and Automation Letters; Vol. 7; No. 2; 4283-4290; <a href="https://doi.org/10.1109/lra.2022.3149568">10.1109/lra.2022.3149568</a></li> <li>Shi, Guanya and Hönig, Wolfgang, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210120-165259145">Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions</a>; IEEE Transactions on Robotics; Vol. 38; No. 2; 1063-1079; <a href="https://doi.org/10.1109/TRO.2021.3098436">10.1109/TRO.2021.3098436</a></li> <li>Daftry, Shreyansh and Abcouwer, Neil, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220317-376217000">MLNav: Learning to Safely Navigate on Martian Terrains</a>; IEEE Robotics and Automation Letters; Vol. 7; No. 2; 5461-5468; <a href="https://doi.org/10.1109/lra.2022.3156654">10.1109/lra.2022.3156654</a></li> <li>Jimenez Rodriguez, Ivan Dario and Ames, Aaron D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-224552040">LyaNet: A Lyapunov Framework for Training Neural ODEs</a>; Proceedings of Machine Learning Research; 18687-18703; <a href="https://doi.org/10.48550/arXiv.arXiv.2202.02526">10.48550/arXiv.arXiv.2202.02526</a></li> <li>Taylor, Andrew J. and Dorobantu, Victor D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-100142166">Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs</a>; IEEE Control Systems Letters; Vol. 6; 680-685; <a href="https://doi.org/10.1109/LCSYS.2021.3085172">10.1109/LCSYS.2021.3085172</a></li> <li>Wittmann, Bruce J. and Yue, Yisong, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201207-131007947">Informed training set design enables efficient machine learning-assisted directed protein evolution</a>; Cell Systems; Vol. 12; No. 11; 1026-1045; <a href="https://doi.org/10.1016/j.cels.2021.07.008">10.1016/j.cels.2021.07.008</a></li> <li>Liu, Yang and Bernstein, Jeremy, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210225-132711583">Learning by Turning: Neural Architecture Aware Optimisation</a>; Proceedings of Machine Learning Research; Vol. 139; 6748-6758; <a href="https://doi.org/10.48550/arXiv.2102.07227">10.48550/arXiv.2102.07227</a></li> <li>Taylor, Andrew J. and Singletary, Andrew, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-104322686">A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety</a>; IEEE Control Systems Letters; Vol. 5; No. 3; 1019-1024; <a href="https://doi.org/10.1109/LCSYS.2020.3009082">10.1109/LCSYS.2020.3009082</a></li> <li>Zhao, Eric and Liu, Anqi, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-074357009">Active Learning under Label Shift</a>; Proceedings of Machine Learning Research; Vol. 130; 3412-3420; <a href="https://doi.org/10.48550/arXiv.2007.08479">10.48550/arXiv.2007.08479</a></li> <li>Voloshin, Cameron and Jiang, Nan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-100815979">Minimax Model Learning</a>; Proceedings of Machine Learning Research; Vol. 130; 1612-1620; <a href="https://doi.org/10.48550/arXiv.2103.02084">10.48550/arXiv.2103.02084</a></li> <li>Nakka, Yashwanth Kumar and Liu, Anqi, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200526-150616242">Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems</a>; IEEE Robotics and Automation Letters; Vol. 6; No. 2; 389-396; <a href="https://doi.org/10.1109/LRA.2020.3044033">10.1109/LRA.2020.3044033</a></li> <li>Ho, Dimitar and Le, Hoang M., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-094452379">Online Robust Control of Nonlinear Systems with Large Uncertainty</a>; Proceedings of Machine Learning Research; Vol. 130; 3475-3483; <a href="https://doi.org/10.48550/arXiv.2103.11055">10.48550/arXiv.2103.11055</a></li> <li>Qin, Yidan and Allan, Max, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210225-132708240">Learning Invariant Representation of Tasks for Robust Surgical State Estimation</a>; IEEE Robotics and Automation Letters; Vol. 6; No. 2; 3208-3215; <a href="https://doi.org/10.1109/LRA.2021.3063014">10.1109/LRA.2021.3063014</a></li> <li>Cross, Logan and Cockburn, Jeffrey, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201217-133745087">Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments</a>; Neuron; Vol. 109; No. 4; 724-738; PMCID PMC7897245; <a href="https://doi.org/10.1016/j.neuron.2020.11.021">10.1016/j.neuron.2020.11.021</a></li> <li>Maser, Michael R. and Cui, Alexander Y., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201015-152733539">Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions</a>; Journal of Chemical Information and Modeling; Vol. 61; No. 1; 156-166; <a href="https://doi.org/10.1021/acs.jcim.0c01234">10.1021/acs.jcim.0c01234</a></li> <li>Novoseller, Ellen R. and Wei, Yibing, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154320945">Dueling Posterior Sampling for Preference-Based Reinforcement Learning</a>; Proceedings of Machine Learning Research; Vol. 124; 1029-1038; <a href="https://doi.org/10.48550/arXiv.1908.01289">10.48550/arXiv.1908.01289</a></li> <li>Rivière, Benjamin and Hönig, Wolfgang, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200514-141356088">GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning</a>; IEEE Robotics and Automation Letters; Vol. 5; No. 3; 4249-4256; <a href="https://doi.org/10.1109/lra.2020.2994035">10.1109/lra.2020.2994035</a></li> <li>Taylor, Andrew J. and Singletary, Andrew, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105558873">Learning for Safety-Critical Control with Control Barrier Functions</a>; Proceedings of Machine Learning Research; Vol. 120; 708-717; <a href="https://doi.org/10.48550/arXiv.1912.10099">10.48550/arXiv.1912.10099</a></li> <li>Cheng, Richard and Verma, Abhinav, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154302241">Control Regularization for Reduced Variance Reinforcement Learning</a>; Proceedings of Machine Learning Research; Vol. 97; 1141-1150; <a href="https://doi.org/10.48550/arXiv.1905.05380">10.48550/arXiv.1905.05380</a></li> <li>Le, Hoang M. and Voloshin, Cameron, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085845627">Batch Policy Learning under Constraints</a>; Proceedings of Machine Learning Research; Vol. 97; 3703-3712; <a href="https://doi.org/10.48550/arXiv.1903.08738">10.48550/arXiv.1903.08738</a></li> <li>Yang, Kevin K. and Chen, Yuxin, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190905-154254753">Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design</a>; Proceedings of Machine Learning Research; Vol. 89; 3410-3419; <a href="https://doi.org/10.48550/arXiv.1904.08102">10.48550/arXiv.1904.08102</a></li> <li>Song, Jialin and Chen, Yuxin, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-101951355">A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes</a>; Proceedings of Machine Learning Research; Vol. 89; 3158-3167; <a href="https://doi.org/10.48550/arXiv.1811.00755">10.48550/arXiv.1811.00755</a></li> <li>Ross, Zachary E. and Yue, Yisong, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20181213-160905447">PhaseLink: A Deep Learning Approach to Seismic Phase Association</a>; Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1; 856-869; <a href="https://doi.org/10.1029/2018JB016674">10.1029/2018JB016674</a></li> <li>Meier, Men-Andrin and Ross, Zachary E., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190103-121520006">Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning</a>; Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1; 788-800; <a href="https://doi.org/10.1029/2018jb016661">10.1029/2018jb016661</a></li> <li>Marino, Joseph and Yue, Yisong, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190506-143507942">Iterative Amortized Inference</a>; Proceedings of Machine Learning Research; Vol. 80; 3403-3412; <a href="https://doi.org/10.48550/arXiv.1807.09356">10.48550/arXiv.1807.09356</a></li> <li>Sui, Yanan and Zhuang, Vincent, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-102511954">Stagewise Safe Bayesian Optimization with Gaussian Processes</a>; Proceedings of Machine Learning Research; Vol. 80; 4781-4789; <a href="https://doi.org/10.48550/arXiv.1806.07555">10.48550/arXiv.1806.07555</a></li> <li>Sha, Long and Lucey, Patrick, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180412-124227369">Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics</a>; ACM Transactions on Computer-Human Interaction; Vol. 25; No. 2; Art. No. 13; <a href="https://doi.org/10.1145/3185596">10.1145/3185596</a></li> <li>Chen, Yuxin and Mac Aodha, Oisin, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20180613-142015680">Near-Optimal Machine Teaching via Explanatory Teaching Sets</a>; Proceedings of Machine Learning Research; Vol. 84; 1970-1978</li> <li>Le, Hoang M. and Jiang, Nan, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-113025214">Hierarchical Imitation and Reinforcement Learning</a>; Proceedings of Machine Learning Research; Vol. 80; 2917-2926; <a href="https://doi.org/10.48550/arXiv.1803.00590">10.48550/arXiv.1803.00590</a></li> <li>Le, Hoang M. and Yue, Yisong, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170829-143913716">Coordinated Multi-Agent Imitation Learning</a>; Proceedings of Machine Learning Research; Vol. 70; 1995-2003; <a href="https://doi.org/10.48550/arXiv.1703.03121">10.48550/arXiv.1703.03121</a></li> <li>Taylor, Sarah and Kim, Taehwan, el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170814-143407341">A deep learning approach for generalized speech animation</a>; ACM Transactions on Graphics; Vol. 36; No. 4; Art. 93; <a href="https://doi.org/10.1145/3072959.3073699">10.1145/3072959.3073699</a></li> <li>Le, Hoang M. and Kang, Andrew, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160628-161544348">Smooth Imitation Learning for Online Sequence Prediction</a>; Proceedings of Machine Learning Research; Vol. 48; 680-688; <a href="https://doi.org/10.48550/arXiv.1606.00968">10.48550/arXiv.1606.00968</a></li> <li>Liu, Siyuan and Yue, Yisong, el al. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20150827-123713117">Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments</a>; IEEE Transactions on Knowledge and Data Engineering; Vol. 27; No. 9; 2438-2451; <a href="https://doi.org/10.1109/TKDE.2015.2411278">10.1109/TKDE.2015.2411278</a></li> <li>Ross, Stephane and Zhou, Jiaji, el al. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190327-085831526">Learning Policies for Contextual Submodular Prediction</a>; Proceedings of Machine Learning Research; Vol. 28; No. 3; 1364-1372; <a href="https://doi.org/10.48550/arXiv.1305.2532">10.48550/arXiv.1305.2532</a></li> <li>Yue, Yisong and Broder, Josef, el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140908-154452921">The K-armed dueling bandits problem</a>; Journal of Computer and System Sciences; Vol. 78; No. 5; 1538-1556; <a href="https://doi.org/10.1016/j.jcss.2011.12.028">10.1016/j.jcss.2011.12.028</a></li> <li>Chapelle, Olivier and Joachims, Thorsten, el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140908-154928426">Large-scale validation and analysis of interleaved search evaluation</a>; ACM Transactions on Information Systems; Vol. 30; No. 1; Art. No. 6; <a href="https://doi.org/10.1145/2094072.2094078">10.1145/2094072.2094078</a></li> <li>Joachims, Thorsten and Hofmann, Thomas, el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140908-153800463">Predicting Structured Objects with Support Vector Machines</a>; Communications of the ACM; Vol. 52; No. 11; 97-104; <a href="https://doi.org/10.1145/1592761.1592783">10.1145/1592761.1592783</a></li> </ul>