Lim, Jen Ning

6 publications

ICML 2024 Momentum Particle Maximum Likelihood Jen Ning Lim, Juan Kuntz, Samuel Power, Adam Michael Johansen

NeurIPS 2024 Particle Semi-Implicit Variational Inference Jen Ning Lim, Adam M. Johansen

AISTATS 2023 Energy-Based Models for Functional Data Using Path Measure Tilting Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf, Andrew Duncan

AISTATS 2023 Particle Algorithms for Maximum Likelihood Training of Latent Variable Models Juan Kuntz, Jen Ning Lim, Adam M. Johansen

AISTATS 2020 More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira

NeurIPS 2019 Kernel Stein Tests for Multiple Model Comparison Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum