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Yanan Sui
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2020 – today
- 2024
- [c25]Zhengfei Zhang, Yunyue Wei, Yanan Sui:
An invariant information geometric method for high-dimensional online optimization. L4DC 2024: 641-653 - [c24]Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui:
Improving sample efficiency of high dimensional Bayesian optimization with MCMC. L4DC 2024: 813-824 - [i23]Zhengfei Zhang, Yunyue Wei, Yanan Sui:
An Invariant Information Geometric Method for High-Dimensional Online Optimization. CoRR abs/2401.01579 (2024) - [i22]Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui:
Improving sample efficiency of high dimensional Bayesian optimization with MCMC. CoRR abs/2401.02650 (2024) - [i21]Akifumi Wachi, Xun Shen, Yanan Sui:
A Survey of Constraint Formulations in Safe Reinforcement Learning. CoRR abs/2402.02025 (2024) - [i20]Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue:
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR abs/2406.15788 (2024) - 2023
- [c23]Jun Hong Lim, Kaibo He, Zeji Yi, Chen Hou, Chen Zhang, Yanan Sui, Luming Li:
Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot. EMBC 2023: 1-5 - [c22]Chen Gong, Yue Chen, Yanan Sui, Luming Li:
Automatic Sleep Stage Classification with Cross-Modal Self-Supervised Features From Deep Brain Signals. NER 2023: 1-4 - [i19]Chen Gong, Yue Chen, Yanan Sui, Luming Li:
Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals. CoRR abs/2302.03227 (2023) - [i18]Jun Hong Lim, Kaibo He, Zeji Yi, Chen Hou, Chen Zhang, Yanan Sui, Luming Li:
Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot. CoRR abs/2305.10642 (2023) - [i17]Kaibo He, Chenhui Zuo, Jing Shao, Yanan Sui:
Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation. CoRR abs/2312.05473 (2023) - 2021
- [c21]Vincent Zhuang, Yanan Sui:
No-Regret Reinforcement Learning with Heavy-Tailed Rewards. AISTATS 2021: 3385-3393 - [c20]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 - [c19]Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui:
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease. IJCAI 2021: 5024-5027 - [c18]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. NeurIPS 2021: 5360-5372 - [c17]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. NeurIPS 2021: 12340-12350 - [c16]Akifumi Wachi, Yunyue Wei, Yanan Sui:
Safe Policy Optimization with Local Generalized Linear Function Approximations. NeurIPS 2021: 20759-20771 - [i16]Vincent Zhuang, Yanan Sui:
No-Regret Reinforcement Learning with Heavy-Tailed Rewards. CoRR abs/2102.12769 (2021) - [i15]Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li:
Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease. CoRR abs/2105.14704 (2021) - [i14]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. CoRR abs/2110.14754 (2021) - [i13]Akifumi Wachi, Yunyue Wei, Yanan Sui:
Safe Policy Optimization with Local Generalized Linear Function Approximations. CoRR abs/2111.04894 (2021) - 2020
- [c15]Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. AIES 2020: 414-420 - [c14]Akifumi Wachi, Yanan Sui:
Safe Reinforcement Learning in Constrained Markov Decision Processes. ICML 2020: 9797-9806 - [c13]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 - [c12]Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li:
Parkinsonian {C. ML4H@NeurIPS 2020: 114-125 - [c11]Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. UAI 2020: 1029-1038 - [i12]Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. CoRR abs/2003.00813 (2020) - [i11]Akifumi Wachi, Yanan Sui:
Safe Reinforcement Learning in Constrained Markov Decision Processes. CoRR abs/2008.06626 (2020) - [i10]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. CoRR abs/2010.09808 (2020) - [i9]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)
2010 – 2019
- 2019
- [c10]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CVPR 2019: 3546-3555 - [i8]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CoRR abs/1901.02598 (2019) - [i7]Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. CoRR abs/1908.01289 (2019) - [i6]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. CoRR abs/1909.12316 (2019) - 2018
- [c9]Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono:
Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes. AAAI 2018: 6548-6556 - [c8]Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue:
Stagewise Safe Bayesian Optimization with Gaussian Processes. ICML 2018: 4788-4796 - [c7]Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue:
Advancements in Dueling Bandits. IJCAI 2018: 5502-5510 - [c6]Richard Cheng, Yanan Sui, Dimitry Sayenko, Joel W. Burdick:
On Muscle Activation for Improving Robotic Rehabilitation after Spinal Cord Injury. IROS 2018: 798-805 - [i5]Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue:
Stagewise Safe Bayesian Optimization with Gaussian Processes. CoRR abs/1806.07555 (2018) - 2017
- [c5]Yanan Sui, Joel W. Burdick:
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces. IJCAI 2017: 2793-2799 - [c4]Yanan Sui, Kun Ho Kim, Joel W. Burdick:
Quantifying performance of bipedal standing with multi-channel EMG. IROS 2017: 3891-3896 - [c3]Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue:
Multi-dueling Bandits with Dependent Arms. UAI 2017 - [i4]Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue:
Multi-dueling Bandits with Dependent Arms. CoRR abs/1705.00253 (2017) - [i3]Yanan Sui, Yisong Yue, Joel W. Burdick:
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces. CoRR abs/1707.02375 (2017) - [i2]Kun Li, Yanan Sui, Joel W. Burdick:
Bellman Gradient Iteration for Inverse Reinforcement Learning. CoRR abs/1707.07767 (2017) - [i1]Yanan Sui, Kun Ho Kim, Joel W. Burdick:
Quantifying Performance of Bipedal Standing with Multi-channel EMG. CoRR abs/1711.07894 (2017) - 2015
- [c2]Yanan Sui, Alkis Gotovos, Joel W. Burdick, Andreas Krause:
Safe Exploration for Optimization with Gaussian Processes. ICML 2015: 997-1005 - 2014
- [c1]Yanan Sui, Joel W. Burdick:
Clinical online recommendation with subgroup rank feedback. RecSys 2014: 289-292
Coauthor Index
aka: Joel Burdick
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