Lai, Jinlin

5 publications

NeurIPS 2025 Active Measurement: Efficient Estimation at Scale Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel Sheldon

ICLRW 2025 Quasi-Random Multi-Sample Inference for Large Language Models Avinash Amballa, Aditya Parashar, Aditya Vikram Singh, Jinlin Lai, Benjamin Rozonoyer

NeurIPS 2024 Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai, Justin Domke, Daniel Sheldon

ICML 2023 Automatically Marginalized MCMC in Probabilistic Programming Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon

AISTATS 2022 Variational Marginal Particle Filters Jinlin Lai, Justin Domke, Daniel Sheldon