Postdoctoral Position in Machine Learning at UPenn Applications are invited for a postdoctoral position in machine learning in the Department of Computer and Information Science at the University of Pennsylvania. The position is expected to begin in Fall 2016, and is for a period of up to two years (with renewal in the second year contingent on performance in the first year). Applications in all areas of machine learning will be considered, with special emphasis on the following areas: ranking and choice modeling; connections between machine learning and economics; and learning of complex structures. The ideal candidate will demonstrate both ability for independent thinking and interest in co-mentoring of graduate students. The candidate will work primarily with Shivani Agarwal (joining UPenn faculty in July 2016), but will also have opportunities to collaborate with other faculty in machine learning and related areas at UPenn, including Michael Kearns, Daniel Lee, Sasha Rakhlin, Aaron Roth, Lyle Ungar, and other faculty. UPenn is located in the vibrant city of Philadelphia, which is known for its rich culture, history, museums, parks, and restaurants. It is less than 1.5 hrs by train to NYC, 1.5 hrs by flight to Boston, 2 hrs by train to Washington DC, and 40 mins by train to Princeton. For more details about the CIS department at UPenn, see: http://www.cis.upenn.edu/ To apply, send the following materials in an email titled “Application for Postdoctoral Position” to
by June 17, 2016: - curriculum vitae - 2-page statement of research interests and goals - 3 representative publications or working papers - 3 letters of recommendation (to be sent separately by the same date) Shortlisted candidates will be invited for a short meeting/interview at ICML/COLT in NYC during June 23-26 (in your email, please indicate your availability for this).
In conjunction with the Sixteenth ACM Conference on Economics and Computation (EC'15), we solicit submissions for the First Workshop on Algorithmic Game Theory and Data Science, to be held on June 15, 2015 in Portland, Oregon, USA.
Computer systems have become the primary mediator of social and economic interactions, enabling transactions at ever-increasing scale. Mechanism design when done on a large scale needs to be a data-driven enterprise. It seeks to optimize some objective with respect to a huge underlying population that the mechanism designer does not have direct access to. Instead, the mechanism designer typically will have access to sampled behavior from that population (e.g. bid histories, or purchase decisions). This means that, on the one hand, mechanism designers will need to bring to bear data-driven methodology from statistical learning theory, econometrics, and revealed preference theory. On the other hand, strategic settings pose new challenges in data science, and approaches for learning and inference need to be adapted to account for strategization.
The goal of this workshop is to frame the agenda for research at the interface of algorithms, game theory, and data science. Papers from a rich set of experimental, empirical, and theoretical perspectives are invited. Topics of interest include but are not limited to:
Any submission format between abstracts and full papers will be considered. Abstracts may be rejected if we cannot sufficiently evaluate their contribution. Full papers will be evaluated after page 10 only at the discretion of the committee.
We solicit both new work and work recently published or soon to be published in another venue. For submissions of the latter kind, authors must clearly state the venue of publication. This workshop will have no published proceedings. Papers appearing in published conference proceedings or journals subsequent to EC 2014 will be considered, though preference may be given to papers that have not yet appeared. Papers that have appeared or are to appear at EC or affiliated workshops will not be considered.
Authors are encouraged to provide a link to an online version of the paper (such as on arXiv). If accepted, such papers will be linked via an index to give an informal record of the workshop.
All submissions should be sent electronically to AGTDataScienceWorkshop15@gmail.com on or before April 26th, 2015. Notification of acceptance will be on May 11, 2015.