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.

Brief CV


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)


Review for

Event Organization

2019 Co-organizer of Southeast Asia Machine Learning School (SEA MLS) 2019
2019 Co-organizer of Machine Learning Research School (MLRS) 2019