Jen Ning Lim

According to our database1, Jen Ning Lim authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Particle Semi-Implicit Variational Inference.
CoRR, 2024

Momentum Particle Maximum Likelihood.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.
CoRR, 2023

Energy-Based Models for Functional Data using Path Measure Tilting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Particle algorithms for maximum likelihood training of latent variable models.
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.
CoRR, 2022

F-EBM: Energy Based Learning of Functional Data.
CoRR, 2022

2020
More Powerful Selective Kernel Tests for Feature Selection.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Kernel Stein Tests for Multiple Model Comparison.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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