Jen Ning Lim

According to our database, Jen Ning Lim authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Tiny Moves: Game-based Hypothesis Refinement.

Agnieszka Dobrowolska, Rogier Hintzen, Martin Balla, Karl Gemayel, Sabine Reichert, Thomas Charman, Jen Ning Lim, Lindsay Edwards, Anna Gogleva

CoRR, February, 2026

2024

Particle Semi-Implicit Variational Inference.

Jen Ning Lim, Adam M. Johansen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Momentum Particle Maximum Likelihood.

Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.

Tobias Schröder, Zijing Ou, Jen Ning Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew B. Duncan

CoRR, 2023

Energy-Based Models for Functional Data using Path Measure Tilting.

Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Particle algorithms for maximum likelihood training of latent variable models.

Juan Kuntz, Jen Ning Lim, Adam M. Johansen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.

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 T. O'Reilly, Sebastian J. Vollmer

CoRR, 2022

F-EBM: Energy Based Learning of Functional Data.

Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan

CoRR, 2022

2020

More Powerful Selective Kernel Tests for Feature Selection.

Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Kernel Stein Tests for Multiple Model Comparison.

Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019