Lim, Jen Ning

1. Particle algorithms for maximum likelihood training of latent variable models
   2022/04/27 by Juan Kuntz, Kuntz, Juan, Lim, Jen Ning +1 · 5 citations
   Computer Science · #Bayesian Methods and Mixture Models #Computation (stat.CO) #Data Analysis with R #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC)
2. Kernel Stein Tests for Multiple Model Comparison
   2019/10/27 by Jen Ning Lim, Lim, Jen Ning, Makoto Yamada +5 · 4 citations
   Mathematics · Decision Sciences · #Statistical Methods and Bayesian Inference #Advanced Statistical Process Monitoring #Advanced Statistical Methods and Models
3. Particle Semi-Implicit Variational Inference
   2024/06/30 by Jen Ning Lim, Lim, Jen Ning, Adam M. Johansen +1 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
4. Momentum Particle Maximum Likelihood
   2023/12/12 by Lim, Jen Ning, Kuntz, Juan, Power, Samuel +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Energy-Based Models for Functional Data using Path Measure Tilting
   2022/02/04 by Jen Ning Lim, Sebastian J. Vollmer, Lim, Jen Ning +5 · 1 citation
   Environmental Science · Materials Science · Computer Science · #Health, Environment, Cognitive Aging #Machine Learning in Materials Science #Gaussian Processes and Bayesian Inference
6. Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
   2023/07/12 by Schröder, Tobias, Ou, Zijing, Lim, Jen Ning +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)