Chaoqi Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Geometric Methods

Gaussian Process

Kullback Leibler

Top Venues

Publications

Chaoqi Wang, Yuxin Chen, Kevin Murphy
Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS (2024)
Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. ICLR (2024)
Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR (2024)
Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS (2024)
Xin Tan, Chaoqi Wang, Mingwei Wang, Wenyuan Liu, Xianghui Wang
Target imaging technology of wireless orbital communication radar. Int. J. Grid Util. Comput. 15 (1) (2024)
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. NeurIPS (2023)
Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR (2023)
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR (2023)
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
Active Policy Improvement from Multiple Black-box Oracles. ICML (2023)
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
Active Policy Improvement from Multiple Black-box Oracles. CoRR (2023)
Chaoqi Wang, Adish Singla, Yuxin Chen
Teaching an Active Learner with Contrastive Examples. CoRR (2021)
Chaoqi Wang, Shengyang Sun, Roger B. Grosse
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS (2021)
Lei Sun, Xiwei Feng, Pengcheng Hua, Chi Zhao, Chaoqi Wang, Wei Hou
Research on Intelligent Question Answering algorithm based on machine learning. EITCE (2021)
Chaoqi Wang, Adish Singla, Yuxin Chen
Teaching an Active Learner with Contrastive Examples. NeurIPS (2021)
Chaoqi Wang, Shengyang Sun, Roger B. Grosse
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? CoRR (2020)
Chaoqi Wang, Guodong Zhang, Roger Baker Grosse
Picking Winning Tickets Before Training by Preserving Gradient Flow. CoRR (2020)
Chaoqi Wang, Guodong Zhang, Roger B. Grosse
Picking Winning Tickets Before Training by Preserving Gradient Flow. ICLR (2020)
Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse
Three Mechanisms of Weight Decay Regularization. ICLR (Poster) (2019)
Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. CoRR (2019)
Wenjuan Gong, Bin Zhang, Chaoqi Wang, Hanbing Yue, Chuantao Li, Linjie Xing, Yu Qiao, Weishan Zhang, Faming Gong
A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis. Sensors 19 (12) (2019)
Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. ICML (2019)
Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse
Three Mechanisms of Weight Decay Regularization. CoRR (2018)
Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML (2018)
Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR (2018)
Deng Cai, Xiuye Gu, Chaoqi Wang
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval. CoRR (2017)