Jenkins, Porter

6 publications

ICML 2025 Fully Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young, Porter Jenkins, Longchao Da, Jeff Dotson, Hua Wei

AAAI 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei

WACV 2023 CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects Porter Jenkins, Kyle Armstrong, Stephen Nelson, Siddhesh Gotad, J. Stockton Jenkins, Wade Wilkey, Tanner Watts

AAAI 2022 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

IJCAI 2021 Knowledge-Based Residual Learning Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li

AAAI 2021 Neural Utility Functions Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li