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162;
International Conference on Machine Learning (ICML), 17-23 July 2022
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66;
Jimenez Rodriguez, Ivan Dario; Csomay-Shanklin, Noel et al.
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Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies
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168;
4th Annual Learning for Dynamics and Control Conference, 23-24 June 2022
, Palo Alto, CA
Daftry, Shreyansh; Abcouwer, Neil et al.
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MLNav: Learning to Safely Navigate on Martian Terrains
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Jimenez Rodriguez, Ivan Dario; Ames, Aaron D. et al.
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LyaNet: A Lyapunov Framework for Training Neural ODEs
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A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety
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Liu, Yang; Bernstein, Jeremy et al.
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Learning by Turning: Neural Architecture Aware Optimisation
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38th International Conference on Machine Learning, 18-24 July 2021
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Active Learning under Label Shift
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130;
24th International Conference on Artificial Intelligence and Statistics (AISTATS), 13-15 April 2021
, San Diego, CA
Nakka, Yashwanth Kumar; Liu, Anqi et al.
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Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
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6;
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2;
Qin, Yidan; Allan, Max et al.
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Learning Invariant Representation of Tasks for Robust Surgical State Estimation
IEEE Robotics and Automation Letters;
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6;
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2;
Voloshin, Cameron; Jiang, Nan et al.
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Minimax Model Learning
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130;
24th International Conference on Artificial Intelligence and Statistics (AISTATS), 13-15 April 2021
, San Diego, CA
Ho, Dimitar; Le, Hoang M. et al.
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Online Robust Control of Nonlinear Systems with Large Uncertainty
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Maser, Michael R.; Cui, Alexander Y. et al.
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Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions
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Dueling Posterior Sampling for Preference-Based Reinforcement Learning
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36th Conference on Uncertainty in Artificial Intelligence (UAI), 3-6 August 2020
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Rivière, Benjamin; Hönig, Wolfgang et al.
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GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
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5;
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Taylor, Andrew J.; Singletary, Andrew et al.
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Learning for Safety-Critical Control with Control Barrier Functions
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2nd Annual Conference on Learning for Dynamics and Control, 10-11 June 2020
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Cheng, Richard; Verma, Abhinav et al.
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Control Regularization for Reduced Variance Reinforcement Learning
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36th International Conference on Machine Learning, 9-15 June 2019
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Le, Hoang M.; Voloshin, Cameron et al.
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Batch Policy Learning under Constraints
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97;
36th International Conference on Machine Learning, 9-15 June 2019
, Long Beach, CA
Song, Jialin; Chen, Yuxin et al.
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A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
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89;
22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019
, Okinawa, Japan
Yang, Kevin K.; Chen, Yuxin et al.
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Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
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89;
22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019
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Ross, Zachary E.; Yue, Yisong et al.
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PhaseLink: A Deep Learning Approach to Seismic Phase Association
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124;
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1;
Meier, Men-Andrin; Ross, Zachary E. et al.
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Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning
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Iterative Amortized Inference
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35th International Conference on Machine Learning, 10-15 July 2018
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Stagewise Safe Bayesian Optimization with Gaussian Processes
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80;
35th International Conference on Machine Learning, 10-15 July 2018
, Stockholm, Sweden
Chen, Yuxin; Mac Aodha, Oisin et al.
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Near-Optimal Machine Teaching via Explanatory Teaching Sets
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84;
Twenty-First International Conference on Artificial Intelligence and Statistics, 9-11 April 2018
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Hierarchical Imitation and Reinforcement Learning
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80;
35th International Conference on Machine Learning, 10-15 July 2018
, Stockholm, Sweden
Le, Hoang M.; Yue, Yisong et al.
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Coordinated Multi-Agent Imitation Learning
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70;
34th International Conference on Machine Learning (ICML), 6-11 August 2017
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Taylor, Sarah; Kim, Taehwan et al.
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A deep learning approach for generalized speech animation
ACM Transactions on Graphics;
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36;
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Smooth Imitation Learning for Online Sequence Prediction
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48;
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Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments
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Learning Policies for Contextual Submodular Prediction
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The K-armed dueling bandits problem
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Large-scale validation and analysis of interleaved search evaluation
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