Yuping Luo

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 23

Top Topics

Policy Gradient

Speech Recognition

Matrix Factorization

Top Venues

Publications

Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS (2022)
Garrett Thomas, Yuping Luo, Tengyu Ma
Safe Reinforcement Learning by Imagining the Near Future. CoRR (2022)
Garrett Thomas, Yuping Luo, Tengyu Ma
Safe Reinforcement Learning by Imagining the Near Future. NeurIPS (2021)
Zhiyuan Li, Yuping Luo, Kaifeng Lyu
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning. ICLR (2021)
Yuping Luo, Tengyu Ma
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. CoRR (2021)
Yuping Luo, Tengyu Ma
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. NeurIPS (2021)
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR (2021)
Sanjeev Arora, Simon S. Du, Sham M. Kakade, Yuping Luo, Nikunj Saunshi
Provable Representation Learning for Imitation Learning via Bi-level Optimization. ICML (2020)
Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma
On the Expressivity of Neural Networks for Deep Reinforcement Learning. ICML (2020)
Zhiyuan Li, Yuping Luo, Kaifeng Lyu
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning. CoRR (2020)
Sanjeev Arora, Simon S. Du, Sham M. Kakade, Yuping Luo, Nikunj Saunshi
Provable Representation Learning for Imitation Learning via Bi-level Optimization. CoRR (2020)
Yuping Luo, Huazhe Xu, Tengyu Ma
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. ICLR (2020)
Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo
Implicit Regularization in Deep Matrix Factorization. CoRR (2019)
Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle. CoRR (2019)
Yunmei Luo, Yuping Luo, Xueping Ye, Jun Lu, Shuqing Li
Reliability-Based and QoS-Aware Service Redundancy Backup Method in IoT-Based Smart Grid. ICAIS (4) (2019)
Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) (2019)
Simon S. Du, Yuping Luo, Ruosong Wang, Hanrui Zhang
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle. NeurIPS (2019)
Kefan Dong, Yuping Luo, Tengyu Ma
Bootstrapping the Expressivity with Model-based Planning. CoRR (2019)
Yuping Luo, Huazhe Xu, Tengyu Ma
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. CoRR (2019)
Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo
Implicit Regularization in Deep Matrix Factorization. NeurIPS (2019)
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
Learning online alignments with continuous rewards policy gradient. ICASSP (2017)
Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly
An online sequence-to-sequence model for noisy speech recognition. CoRR (2017)
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever
Learning Online Alignments with Continuous Rewards Policy Gradient. CoRR (2016)
Wenwei Zhang, Yuping Luo, Xi Gong, Wenhong Zeng, Siguang Li
Computational identification of 48 potato microRNAs and their targets. Comput. Biol. Chem. 33 (1) (2009)
Donggen Zhou, Siguang Li, Jian Wen, Xi Gong, Ling Xu, Yuping Luo
Genome-wide computational analyses of microRNAs and their targets from Canis familiaris. Comput. Biol. Chem. 32 (1) (2008)
Qihe Li, Yuping Luo, Deyun Xiao
Video Object Contour Tracking Using Improved Dual-Front Active Contour. ICIC (2) (2006)