Jen Ning Lim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Class Separability

Variational Inference

Maximum Likelihood

Top Venues

Publications

Jen Ning Lim, Adam M. Johansen
Particle Semi-Implicit Variational Inference. CoRR (2024)
Tobias Schröder, Zijing Ou, Jen Ning Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew B. Duncan
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models. CoRR (2023)
Juan Kuntz, Jen Ning Lim, Adam M. Johansen
Particle algorithms for maximum likelihood training of latent variable models. AISTATS (2023)
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
Momentum Particle Maximum Likelihood. CoRR (2023)
Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan
Energy-Based Models for Functional Data using Path Measure Tilting. AISTATS (2023)
Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan
F-EBM: Energy Based Learning of Functional Data. CoRR (2022)
Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen, Kasun Amarasinghe, Rayid Ghani, Alison J. Heppenstall, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmerteke
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. CoRR (2022)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. AISTATS (2020)
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison. NeurIPS (2019)