AdML 2012 - ICML Workshop on Online Advertising (AdML)

AdML is an ICML 2012 workshop that will focus on machine learning for online advertising, an emerging application area of enormous practical importance that has numerous scientific challenges. The workshop will span theory and practice, attracting academic and industrial lab scientists as well as industry practitioners. Schedule highlights will include invited talks from leading researchers in the field and contributed talks for top accepted papers. The workshop will include a special session on open problems, and a poster session dedicated to promising early-stage work.
Topics of Interest
Submissions are encouraged in any of the following research areas, but are not limited to:
Large-scale machine learning
Selection bias, covariate shift, and domain adaptation
Contextual bandits and explore/exploit trade-offs
Evaluation methods
Interaction of machine learning and auction theory / mechanism design
Prediction markets
Learning to rank
Personalization
Behavioral targeting
Privacy-preserving learning
Adversarial learning, including ad scam, spam, and fraud detection
Social network analysis
Learning bidding strategies, including real time bidding for ad exchanges
Learning for sponsored search
Learning for display ads and contextual advertisements
Learning for offer ads and deals
Learning for ads on mobile devices
Reliability of deployed systems