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2020 – today
- 2023
[i109]Cameron Voloshin, Abhinav Verma, Yisong Yue:
Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR abs/2303.02135 (2023)- [i108]Victor D. Dorobantu, Charlotte Borcherds, Yisong Yue:
Conformal Generative Modeling on Triangulated Surfaces. CoRR abs/2303.10251 (2023) - 2022
- [j17]Andrew J. Taylor
, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames:
Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. IEEE Control. Syst. Lett. 6: 680-685 (2022) - [j16]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. IEEE Robotics Autom. Lett. 7(2): 4283-4290 (2022) - [j15]Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono:
MLNav: Learning to Safely Navigate on Martian Terrains. IEEE Robotics Autom. Lett. 7(2): 5461-5468 (2022) - [j14]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7(66) (2022) - [j13]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. IEEE Trans. Robotics 38(2): 1063-1079 (2022) - [c100]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. ACC 2022: 2604-2610 - [c99]Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC 2022: 5316-5322 - [c98]Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CDC 2022: 7127-7134 - [c97]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR 2022: 91-102 - [c96]Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. CVPR 2022: 2161-2170 - [c95]Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CVPR 2022: 2201-2210 - [c94]Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue:
Investigating Generalization by Controlling Normalized Margin. ICML 2022: 6324-6336 - [c93]Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue:
LyaNet: A Lyapunov Framework for Training Neural ODEs. ICML 2022: 18687-18703 - [c92]Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman:
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. ICRA 2022: 11487-11493 - [c91]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC 2022: 1020-1033 - [c90]Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames:
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. L4DC 2022: 1060-1072 - [i107]Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue:
LyaNet: A Lyapunov Framework for Training Neural ODEs. CoRR abs/2202.02526 (2022) - [i106]Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman:
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR abs/2203.01404 (2022) - [i105]Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono:
MLNav: Learning to Safely Navigate on Martian Terrains. CoRR abs/2203.04563 (2022) - [i104]Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CoRR abs/2203.11470 (2022) - [i103]Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames:
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. CoRR abs/2204.08120 (2022) - [i102]Alexander R. Farhang, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue:
Investigating Generalization by Controlling Normalized Margin. CoRR abs/2205.03940 (2022) - [i101]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR abs/2205.06908 (2022) - [i100]Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue:
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR abs/2206.08094 (2022) - [i99]Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue:
Policy Optimization with Linear Temporal Logic Constraints. CoRR abs/2206.09546 (2022) - [i98]Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue:
Compactly Restrictable Metric Policy Optimization Problems. CoRR abs/2207.05850 (2022) - [i97]Jennifer J. Sun, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Zachary Partridge, Alice Robie, Catherine E. Schretter, Chao Sun, Keith Sheppard, Param Uttarwar, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy:
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. CoRR abs/2207.10553 (2022) - [i96]Maegan Tucker, Kejun Li, Yisong Yue, Aaron D. Ames:
POLAR: Preference Optimization and Learning Algorithms for Robotics. CoRR abs/2208.04404 (2022) - [i95]Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes:
Neurosymbolic Programming for Science. CoRR abs/2210.05050 (2022) - [i94]Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue:
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs. CoRR abs/2210.16940 (2022) - [i93]Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR abs/2212.07401 (2022) - [i92]Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CoRR abs/2212.11365 (2022) - 2021
- [j12]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control. Syst. Lett. 5(3): 1019-1024 (2021) - [j11]Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama, Yisong Yue:
Neurosymbolic Programming. Found. Trends Program. Lang. 7(3): 158-243 (2021) - [j10]Michael R. Maser, Alexander Y. Cui, Serim Ryou, Travis J. DeLano, Yisong Yue, Sarah E. Reisman:
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions. J. Chem. Inf. Model. 61(1): 156-166 (2021) - [j9]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6(1): 389-396 (2021) - [j8]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. IEEE Robotics Autom. Lett. 6(2): 3208-3215 (2021) - [c89]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. AAAI 2021: 6600-6608 - [c88]Cameron Voloshin, Nan Jiang, Yisong Yue:
Minimax Model Learning. AISTATS 2021: 1612-1620 - [c87]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. AISTATS 2021: 3412-3420 - [c86]Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue:
Online Robust Control of Nonlinear Systems with Large Uncertainty. AISTATS 2021: 3475-3483 - [c85]Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames:
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC 2021: 6469-6476 - [c84]Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CVPR 2021: 2876-2885 - [c83]Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen:
Learning to Make Decisions via Submodular Regularization. ICLR 2021 - [c82]Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue:
Learning by Turning: Neural Architecture Aware Optimisation. ICML 2021: 6748-6758 - [c81]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [c80]Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue:
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control. IROS 2021: 3896-3903 - [c79]Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister:
Fine-Grained System Identification of Nonlinear Neural Circuits. KDD 2021: 14-24 - [c78]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS 2021: 261-281 - [c77]Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS 2021: 10013-10025 - [c76]Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman:
DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS 2021: 11592-11603 - [c75]Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue:
Iterative Amortized Policy Optimization. NeurIPS 2021: 15667-15681 - [c74]Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. NeurIPS Datasets and Benchmarks 2021 - [c73]Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue:
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. NeurIPS Datasets and Benchmarks 2021 - [c72]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS 2021: 170-172 - [c71]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive policy optimization. UAI 2021: 64-74 - [i91]Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar:
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR abs/2101.06614 (2021) - [i90]Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue:
Learning by Turning: Neural Architecture Aware Optimisation. CoRR abs/2102.07227 (2021) - [i89]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. CoRR abs/2102.09119 (2021) - [i88]Jeremy Bernstein, Yisong Yue:
Computing the Information Content of Trained Neural Networks. CoRR abs/2103.01045 (2021) - [i87]Cameron Voloshin, Nan Jiang, Yisong Yue:
Minimax Model Learning. CoRR abs/2103.02084 (2021) - [i86]Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames:
Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. CoRR abs/2103.03937 (2021) - [i85]Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue:
Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach. CoRR abs/2103.04548 (2021) - [i84]Dimitar Ho, Hoang M. Le, John C. Doyle, Yisong Yue:
Online Robust Control of Nonlinear Systems with Large Uncertainty. CoRR abs/2103.11055 (2021) - [i83]Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. CoRR abs/2104.02710 (2021) - [i82]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR abs/2105.06460 (2021) - [i81]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR abs/2106.05080 (2021) - [i80]Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister:
Fine-Grained System Identification of Nonlinear Neural Circuits. CoRR abs/2106.05400 (2021) - [i79]Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR abs/2106.06098 (2021) - [i78]Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue:
Interpreting Expert Annotation Differences in Animal Behavior. CoRR abs/2106.06114 (2021) - [i77]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. CoRR abs/2107.13132 (2021) - [i76]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. CoRR abs/2109.05113 (2021) - [i75]Jeremy Bernstein, Yisong Yue:
On the Implicit Biases of Architecture & Gradient Descent. CoRR abs/2110.04274 (2021) - [i74]Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CoRR abs/2111.15186 (2021) - [i73]Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. CoRR abs/2112.05121 (2021) - [i72]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR abs/2112.08516 (2021) - 2020
- [j7]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. IEEE Robotics Autom. Lett. 5(3): 4249-4256 (2020) - [c70]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. ICML 2020: 7499-7509 - [c69]Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. ICML 2020: 11001-11011 - [c68]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. ICRA 2020: 2351-2357 - [c67]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. ICRA 2020: 3241-3247 - [c66]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [c65]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. L4DC 2020: 608-619 - [c64]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
Learning for Safety-Critical Control with Control Barrier Functions. L4DC 2020: 708-717 - [c63]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. NeurIPS 2020 - [c62]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. NeurIPS 2020 - [c61]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS 2020 - [c60]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c59]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Linear Programs. NeurIPS 2020 - [c58]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [c57]Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. UAI 2020: 1029-1038 - [i71]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. CoRR abs/2002.03432 (2020) - [i70]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i69]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. CoRR abs/2002.05578 (2020) - [i68]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. CoRR abs/2002.11807 (2020) - [i67]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. CoRR abs/2003.02992 (2020) - [i66]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020) - [i65]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. CoRR abs/2003.08028 (2020) - [i64]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Programs. CoRR abs/2004.00422 (2020) - [i63]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR abs/2005.04374 (2020) - [i62]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i61]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive Policy Optimization. CoRR abs/2006.10611 (2020) - [i60]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. CoRR abs/2006.14560 (2020) - [i59]Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen:
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR abs/2006.14677 (2020) - [i58]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. CoRR abs/2006.15637 (2020) - [i57]Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman:
Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions. CoRR abs/2007.04275 (2020) - [i56]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. CoRR abs/2007.08479 (2020) - [i55]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR abs/2007.12101 (2020) - [i54]Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar:
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR abs/2010.05784 (2020) - [i53]Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue:
Iterative Amortized Policy Optimization. CoRR abs/2010.10670 (2020) - [i52]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i51]Sabera Talukder, Guruprasad Raghavan, Yisong Yue:
Architecture Agnostic Neural Networks. CoRR abs/2011.02712 (2020) - [i50]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - [i49]Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono:
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version). CoRR abs/2011.06022 (2020) - [i48]George Barnum, Sabera Talukder, Yisong Yue:
On the Benefits of Early Fusion in Multimodal Representation Learning. CoRR abs/2011.07191 (2020) - [i47]