Feature-weighted elastic net: using "features of features" for better prediction. - J. Kenneth Tay; Nima Aghaeepour; Trevor Hastie; Robert Tibshirani (CoRR, 2020)

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 001; J. Kenneth Tay; Rupesh Gupta (KDD, 2023)

Elastic Net Regularization Paths for All Generalized Linear Models. - J. Kenneth Tay; Balasubramanian Narasimhan; Trevor Hastie (J. Stat. Softw., 2023)

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 (KDD, 2024)

Smooth Multi-Period Forecasting With Application to Prediction of COVID-19 Cases. - Elena Tuzhilina; Trevor J. Hastie; Daniel J. McDonald; J. Kenneth Tay; Robert Tibshirani (J. Comput. Graph. Stat., 2024)