Wittawat Jitkrittum is a postdoctoral researcher working with Bernhard Schoelkopf at Max Planck Institute for Intelligent Systems, Tuebingen, Germany. He earned his PhD from Gatsby Unit, University College London with a thesis on informative features for comparing distributions. He received a best paper award at NeurIPS 2017 and the ELLIS PhD award 2019 for outstanding dissertation. Wittawat has broad research interests covering kernel methods, deep generative models, and approximate Bayesian inference. He served as a 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 2019) in Indonesia and a co-organizer of the first Machine Learning Research School (MLRS 2019) 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
|2019||ELLIS PhD Award
For my PhD thesis.
|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|