Wittawat Jitkrittum is a postdoctoral researcher working with Bernhard Schoelkopf at Max Planck Institute for Intelligent Systems, Tuebingen, Germany. He received a PhD from Gatsby Unit, University College London. He has broad research interests covering kernel methods for comparing distributions, deep generative models, and approximate Bayesian inference. His work on fast goodness-of-fit testing received a best paper award at NeurIPS 2017. Wittawat serves as a reviewer for Journal of Machine Learning Research, publication chair for AISTATS 2016, a program committee for NeurIPS, ICML, AISTATS, among others, and is a co-organizer of the first Southeast Asia Machine Learning school (SEAMLS) and a co-organizer of the first Machine Learning Research School (MLRS) in Thailand.
Wittawat’s full CV can be found here.
|2017||PhD in Machine Learning
Gatsby Unit, University College London
Thesis: Kernel-based distribution features for statistical tests and Bayesian inference
|2012||MEng in Computer Science
Sugiyama lab, Tokyo Institute of Technology
Thesis: Feature selection via $L_1$-penalized squared-loss mutual information
|2009||BSc in Computer Science
Sirindhorn International Institute of Technology (SIIT), Thammasat University
Awards and Honors
|2017||NeurIPS 2017 Best Paper
Awarded to 3 out of 3240 submissions to NeurIPS 2017.
Media coverage as podcast by TWiML & AI
|2013||Gatsby Unit Studentship (PhD study)
Full scholarship with stipend for PhD study.
|2010||Okazaki Kaheita Scholarship (master study)
Full scholarship with stipend for master study.
|2010||Second Prize at National Software Contest (NSC)
Category: Thai Language Processing
Project: Thai Text Tokenization with a Binary Classifier
|2009||Second Prize at National Software Contest (NSC)
Category: Software for Scientific Development
Project: Question Answering System for Thai Wikipedia
|2009||Honor Award from King Bhumibol Adulyadej (รางวัลเรียนดี “ทุนภูมิพล”)|
|2004||Thai Wacoal Scholarship
Full scholarship for a one-year intensive Japanese program at Waseda Education (Thailand)
- Publicity Chair of AISTATS 2016
- Journal of Machine Learning Research
- Information and Inference
- NeurIPS 2015-2019
- ICML 2016-2019 (top 5% reviewer of ICML 2019)
- AISTATS 2017-2019
- Asian Conference on Machine Learning (ACML) 2017
- International Conference on Learning Representations (ICLR) 2017
|2019||Co-organizer of Southeast Asia Machine Learning School (SEA MLS) 2019|
|2019||Co-organizer of Machine Learning Research School (MLRS) 2019|