Alert button
Picture for Yu Bai

Yu Bai

Alert button

Cross-Lingual Abstractive Summarization with Limited Parallel Resources

May 31, 2021
Yu Bai, Yang Gao, Heyan Huang

Figure 1 for Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Figure 2 for Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Figure 3 for Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Figure 4 for Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Viaarxiv icon

Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network

Mar 30, 2021
Bo Dong, Hao Liu, Yu Bai, Jinbiao Lin, Zhuoran Xu, Xinyu Xu, Qi Kong

Figure 1 for Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Figure 2 for Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Figure 3 for Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Figure 4 for Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Viaarxiv icon

Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models

Mar 08, 2021
Zitong Yang, Yu Bai, Song Mei

Figure 1 for Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Figure 2 for Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Figure 3 for Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Figure 4 for Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Viaarxiv icon

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

Feb 23, 2021
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong

Figure 1 for Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Figure 2 for Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Figure 3 for Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Figure 4 for Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Viaarxiv icon

Localized Calibration: Metrics and Recalibration

Feb 22, 2021
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon

Figure 1 for Localized Calibration: Metrics and Recalibration
Figure 2 for Localized Calibration: Metrics and Recalibration
Figure 3 for Localized Calibration: Metrics and Recalibration
Figure 4 for Localized Calibration: Metrics and Recalibration
Viaarxiv icon

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification

Feb 15, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong

Figure 1 for Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Figure 2 for Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Figure 3 for Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Figure 4 for Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Viaarxiv icon

Near-Optimal Offline Reinforcement Learning via Double Variance Reduction

Feb 02, 2021
Ming Yin, Yu Bai, Yu-Xiang Wang

Figure 1 for Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Figure 2 for Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Figure 3 for Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Viaarxiv icon

How Important is the Train-Validation Split in Meta-Learning?

Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong

Figure 1 for How Important is the Train-Validation Split in Meta-Learning?
Figure 2 for How Important is the Train-Validation Split in Meta-Learning?
Figure 3 for How Important is the Train-Validation Split in Meta-Learning?
Viaarxiv icon

A Sharp Analysis of Model-based Reinforcement Learning with Self-Play

Oct 04, 2020
Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin

Figure 1 for A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Viaarxiv icon

Near-Optimal Reinforcement Learning with Self-Play

Jul 14, 2020
Yu Bai, Chi Jin, Tiancheng Yu

Figure 1 for Near-Optimal Reinforcement Learning with Self-Play
Figure 2 for Near-Optimal Reinforcement Learning with Self-Play
Figure 3 for Near-Optimal Reinforcement Learning with Self-Play
Viaarxiv icon