About the AI Lunch and Seminar

This is the home page for the Artificial Intelligence Lunch and Seminar at the School of Computer Science at Carnegie Mellon University.

The faculty coordinator is Ariel Procaccia and the student coordinator is Ellen Vitercik.

The mailing list for upcoming AI Lunch and Seminar talk announcements is on the SCS mailman server.

Unless otherwise noted, the meetings are on Tuesdays at 12:00 P.M. in NSH 3305.

Schedule

Date Speaker Affiliation Title Host Contact
January 12, 2016
12:00 PM
GHC 6115
Jun Zhu Tsinghua University and Carnegie Mellon University Scalable Bayesian Inference with Posterior Regularization
January 19, 2016
12:00 PM
NSH 3305
Noam Brown Carnegie Mellon University Simultaneous Abstraction and Equilibrium Finding
January 26, 2016
12:00 PM
NSH 3305
Gus Xia Carnegie Mellon University Interactive Artificial Music Performers via Machine Learning
February 9, 2016
12:00 PM
NSH 1507
John Dickerson Carnegie Mellon University Better Matching Markets via Data and Optimization: Evidence from a Nationwide Kidney Exchange
February 16, 2016
12:00 PM
NSH 3305
Pengtao Xie Carnegie Mellon University Diversity-Inducing Learning of Latent Variable Models
February 23, 2016
12:00 PM
NSH 3305
Scott Fahlman Carnegie Mellon University Knowledge-Based AI Using Scone
March 1, 2016
12:00 PM
NSH 3305
Leslie Pack Kaelbling Massachusetts Institute of Technology Making Robots Behave Emma Brunskill Emma Brunskill
March 8, 2016
12:00 PM
NSH 3305
Nisarg Shah Carnegie Mellon University Optimal Social Decision Making
March 15, 2016 No Lunch
CSD Open House
March 22, 2016
12:00 PM
NSH 1507
Christian Kroer Carnegie Mellon University Arbitrage-free Combinatorial Market Making via Integer Programming
March 29, 2016
12:00 PM
NSH 3305
Shayan Doroudi Carnegie Mellon University Importance Sampling for Fair Policy Selection
April 5, 2016
12:00 PM
NSH 3305
Yair Zick Carnegie Mellon University Towards a Value Theory for Algorithmic Transparency
April 12, 2016
12:00 PM
NSH 3305
Shiva Kaul Carnegie Mellon University Agnostic linear classification
April 19, 2016
12:00 PM
NSH 3305
Christopher MacLellan Carnegie Mellon University Using the Apprentice Learner Architecture to model human learning from demonstrations and feedback in digital environments
April 26, 2016
12:00 PM
NSH 3305
Rina Dechter University of California, Irvine Modern Exact and Approximate Combinatorial Optimization Algorithms (max-product and max-sum-product) for Graphical models Ariel Procaccia Ariel Procaccia
May 3, 2016
12:00 PM
GHC 6115
Robin Hanson George Mason University The Age of Em: Work, Love, and Life when Robots Rule the Earth Ariel Procaccia Ariel Procaccia
May 10, 2016
12:00 PM
NSH 3305
Rogelio Cardona-Rivera North Carolina State University Toward the Holodeck: Computational Models of Interactive Narrative and their relation to Human Cognition

Links