Donlapark Ponnoprat
Email: donlapark.p@cmu.ac.th
Github · GoogleScholar · DBLP
I am an academic researcher at Chiang Mai University. My research focuses on statistical inference of probabilistic and causal models from computational and privacy perspectives. I received a PhD degree in mathematics with a specialization in dispersive partial differential equations at UCSD, where I was fortunate to be supervised by Ioan Bejenaru.RESEARCH INTERESTS
Statistical learning under uncertainties
Probabilistic models / Causal inference
Statistical inference for optimal transport
LECTURE NOTES
Linear Statistical Models (208780) [PDF]
Main theme: Bayesian regression for modeling and causal inference, and conformal predictions, with hands-on examples in R.
TEACHING
CLASSES (Spring 2022)
208780 - Linear Statistical Models229351 - Statistical Learning for Data Science 1
PRIOR CLASSES
208424 - Optimization for Statistical Learning229352 - Statistical Learning for Data Science 2
208250 - Statistical Methods for Data Science
208711 - Statistical Theory 1
208891 - Probabilistic Graphical Models
PUBLICATIONS
PREPRINTS
An Explainable Machine Learning Approach to Visual-Interactive Labeling: A Case Study on Non-communicable Disease Data (code)Donlapark Ponnoprat, Arxiv Preprint, 2022.
Universal consistency of Wasserstein k-NN classifier
Donlapark Ponnoprat, Arxiv Preprint, 2021.
JOURNAL PAPERS
Dirichlet Mechanism for Differentially Private KL Divergence Minimization (code)Donlapark Ponnoprat, Transactions on Machine Learning Research, 2023.
Detecting Anomalous LAN Activities under Differential Privacy
Norrathep Rattanavipanon, Donlapark Ponnoprat, Hideya Ochiai, Kuljaree Tantayakul, Touchai Angchuan and Sinchai Kamolphiwong, Security and Communication Networks, 2022.
Short-term daily precipitation forecasting with seasonally-integrated autoencoder (code)
Donlapark Ponnoprat
Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on multi-phase CT scans
Donlapark Ponnoprat, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, Patrinee Traisathit, Patumrat Sripan, Nakarin Inmutto, Wittanee Na Chiangmai, Donsuk Pongnikorn and Imjai Chitapanarux, Medical Biol. Eng. Comput., 2020.
Small data well-posedness for derivative nonlinear Schrödinger equations
Donlapark Ponnoprat, J. Differ. Equations, 2018.
CONFERENCE PAPERS
Releasing ARP Data with Differential Privacy Guarantees For LAN Anomaly DetectionNorrathep Rattanavipanon, Donlapark Ponnoprat, Hideya Ochiai, Kuljaree Tantayakul, Touchai Angchuan and Sinchai Kamolphiwong, ECTI-CON, 2021.