2nd Workshop on Offline and Online Evaluation of Interactive Systems

Portage Pass, Alaska

25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 4-8, 2019, Anchorage, Alaska - USA

2019 workshop materials. Dates, affiliations and biographies reflect the original event.

Workshop Day

Date: August 5, 2019 (a half day workshop, from 8am till 12pm)

Location: Summit 13- Ground Level, Egan

Workshop Organizers

Eunyee Koh, PhD, is a senior researcher and manager at Adobe Research. Her expertise is in the intersection of Machine Learning and Human Computer interaction. She has published more than 40 published papers, as well as a book chapter, and holds 3 issued patents. Since joining Adobe in 2008, she has worked on layout detection for PDF documents, contextual bandit algorithms for content personalization, and large scale entity resolution algorithms for Adobe products. In addition to working as a member of the program committee for many conferences, she has organized Adobe Tech Summit, as a Technical Program Chair, delivering 120 breakout sessions including 18 Labs and 3 poster sessions for over 3000 technical attendees.

Neha Gupta is Data Science Leader whose passion is to use machine learning and AI to build smart products. Neha currently heads Uber's Experimentation and Segmentation Data Science teams. Before joining Uber, Neha Gupta worked at Adobe and held several positions at Adobe Digital Marketing Cloud working on bid optimization, personalization algorithms, A/B testing as part of Adobe Target and Media Optimizer products. She graduated with a Ph.D degree in Computer Science from University of Maryland, College Park. She is a TED Fellow, and is deeply humbled to be part of the TED community.

Minmin Chen is a Senior Research Scientist in Google Brain. Her main research interests are in machine learning and recommender systems, currently focusing on reinforcement learning for recommendation systems and sequence modeling. Before that, she was a research scientist at Criteo Lab, building computational models for online advertising, and Amazon, working on the Amazon Go project. She received her PhD study at Washington University in St. Louis on representation learning and domain adaptation and her B.E. on electrical engineering from Tsinghua University. She published over 20 papers at top conferences including NeurIPS, ICML, ICLR, KDD, WSDM and Recsys, and served as area chair for NeurIPS, ICML, AISTATs and AAAI.

PC Members

Lihong Li, Google AI

Ryan Rossi, Researcher, Adobe Research

Sungchul Kim, Researcher, Adobe Research

Jaya Kawale, Senior Researcher, Netflix

Zhenyu Zhao, Senior Data Scientist, Uber

Olivier Chapelle, Senior Staff Research Scientist, Google Brain

Jizhou Fu, Manager, Rider Data Science, Uber

Kun Liu, Sr. Engineering Manager, Amazon

Liangjie Hong, Head of Data Science, Etsy

James McInerney, Senior Research Scientist, Spotify