Porter Jenkins

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Occluded Objects

Probabilistic Neural Networks

Top Venues

Publications

Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks. CoRR (2024)
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. AAAI (2024)
Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation. KDD (2024)
Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation. CoRR (2024)
Spencer Young, Porter Jenkins
On Measuring Calibration of Discrete Probabilistic Neural Networks. CoRR (2024)
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. CoRR (2023)
Porter Jenkins, Kyle Armstrong, Stephen Nelson, Siddhesh Gotad, J. Stockton Jenkins, Wade Wilkey, Tanner Watts
CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects. WACV (2023)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI (2022)
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Knowledge-based Residual Learning. IJCAI (2021)
Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen
Overview of the 1st Workshop on City Brain Research. KDD (2021)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL (2021)
Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
Neural Utility Functions. AAAI (2021)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR (2020)
Porter Jenkins, Jennifer Zhao, Heath Vinicombe, Anant Subramanian, Arun Prasad, Atillia Dobi, Eileen Li, Yunsong Guo
Natural Language Annotations for Search Engine Optimization. WWW (2020)
Porter Jenkins
Structured Paragraph Embeddings of Financial Earnings Calls. WWW (Companion Volume) (2020)
Porter Jenkins
ClickGraph: Web Page Embedding using Clickstream Data for Multitask Learning. WWW (Companion Volume) (2019)
Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li
Learning Task-Specific City Region Partition. WWW (2019)
Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. CIKM (2019)