Porter Jenkins

According to our database, Porter Jenkins authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks.

Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei

CoRR, 2024

On Measuring Calibration of Discrete Probabilistic Neural Networks.

Spencer Young, Porter Jenkins

CoRR, 2024

Head Tail Open: Open Tailed Classification of Imbalanced Document Data.

Chetan Joshi, Daniel Segrera, Lawry Sorenson, Mark J. Clement, Bryan S. Morse, Porter Jenkins, Taylor Archibald, M. J. Ghorbani

Proceedings of the Intelligent Computing, 2024

Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation.

Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.

Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Bayesian Model-Based Offline Reinforcement Learning for Product Allocation.

Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Overview of the 1st Workshop on City Brain Research.

Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge-based Residual Learning.

Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Probabilistic simulation of spatial demand for intelligent product allocation.

Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

Proceedings of the GeoSim@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2021

Neural Utility Functions.

Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Probabilistic Simulator of Spatial Demand for Product Allocation.

Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

CoRR, 2020

Natural Language Annotations for Search Engine Optimization.

Porter Jenkins, Jennifer Zhao, Heath Vinicombe, Anant Subramanian, Arun Prasad, Atillia Dobi, Eileen Li, Yunsong Guo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Structured Paragraph Embeddings of Financial Earnings Calls.

Porter Jenkins

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Learning Task-Specific City Region Partition.

Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li

Proceedings of the World Wide Web Conference, 2019

ClickGraph: Web Page Embedding using Clickstream Data for Multitask Learning.

Porter Jenkins

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding.

Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019