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Books and Theses
- 2021
[b1]Sue Zheng:
Accounting for Computational Expenditures in Bayesian Experimental Design. Massachusetts Institute of Technology, USA, 2021
Conference and Workshop Papers
- 2023
- [c6]Caleb Dahlke, Sue Zheng, Jason Pacheco:
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models. AISTATS 2023: 10262-10278 - 2020
- [c5]Sue Zheng, David S. Hayden, Jason Pacheco, John W. Fisher III:
Sequential Bayesian Experimental Design with Variable Cost Structure. NeurIPS 2020 - 2018
- [c4]Sue Zheng, Jason Pacheco, John W. Fisher III:
A Robust Approach to Sequential Information Theoretic Planning. ICML 2018: 5936-5944 - 2017
- [c3]Randi Cabezas, Maros Blaha, Sue Zheng, Guy Rosman, Konrad Schindler, John W. Fisher III:
On the Role of Representations for Reasoning in Large-Scale Urban Scenes. CVPR Workshops 2017: 1514-1523 - 2014
- [c2]Julian Straub, Sue Zheng, John W. Fisher III
:
Bayesian nonparametric modeling of driver behavior. Intelligent Vehicles Symposium 2014: 932-938 - 2009
- [c1]Baohe Zuo, Sue Zheng, Hong Wu:
Multi-issue Agent Negotiation Based on Fairness. WISM 2009: 167-176
Informal and Other Publications
- 2020
- [i1]David S. Hayden, Sue Zheng, John W. Fisher III:
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking. CoRR abs/2011.07101 (2020)
Coauthor Index
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