J. Kenneth Tay

According to our database, J. Kenneth Tay authored at least 4 papers between 2020 and 2024.

Collaborative distances:

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

2024

Neural Optimization with Adaptive Heuristics for Intelligent Marketing System.

Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida

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

2023

Elastic Net Regularization Paths for All Generalized Linear Models.

J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie

J. Stat. Softw., 2023

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.

Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2020

Feature-weighted elastic net: using "features of features" for better prediction.

J. Kenneth Tay, Nima Aghaeepour, Trevor Hastie, Robert Tibshirani

CoRR, 2020