Summer Workshop on Machine Learning


Carnegie Mellon University, 25-26 May 2019; Deadline 12 Apr

Summer Workshop on Machine Learning

May 25 – 26, 2019

Overview. The Summer Workshop on Machine Learning is intended to introduce junior researchers to the cutting-edge machine learning methods and their applications in the marketing and information systems research, and open up common ground for future discussions among researchers who are using or wish to use machine learning methods in their research. The format of the workshop is a combination of lecture-style sessions, hands-on tutorials (directed primarily at doctoral students) and panel presentations. The following topics will be covered: Supervised Learning, Unsupervised Learning, Graphical Models, Deep Learning, Reinforcement Learning, Text/Image/Audio/Video Mining, Bayesian Machine Learning, ML for Causal Inference. The workshop is supported by the efforts and financial contributions of CMU and ISMS.

Location. The workshop will be held at Carnegie Mellon University in Pittsburgh.

Fees. Registration fee is $50 for PhD students and $200 for faculty. All attendees must cover their travel and hotel costs.

PhD Student Application Procedure. PhD students in Consumer Behavior, Information Systems, Quantitative Marketing, or related business disciplines are encouraged to apply. To apply, please click the application link


All applications must be submitted by April 12, 2019. We will notify applicants by April 20, 2019.

Organizers. Yan Huang (Tepper CMU), Xiao Liu (Stern NYU)

For more information about the workshop, please visit the workshop page

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