About the Artificial Intelligence Seminar Series

This is the home page for the Artificial Intelligence Seminar Series, sponsored by Apple, at the School of Computer Science of Carnegie Mellon University. The faculty coordinator is Zico Kolter and the student coordinator is Adams Wei Yu. The mailing list for upcoming AI 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. See more about CMU AI initiative here, or watch other talks at the CMU AI Youtube channel.

You are encouraged to give a talk! Please contact Adams Wei Yu for arrangement.

Schedule

Date Speaker Affiliation Title Host
August 29, 2017
12:00 PM
NSH 1507
Jason Hartline Northwestern University Peer Grading and Mechanism Design Ellen Vitercik
September 12, 2017
12:00 PM
NSH 3305
Fei Fang Carnegie Mellon University Data-Aware Game Theory and Mechanism Design for Security, Sustainability, and Mobility
September 19, 2017
12:00 PM
NSH 3305
Bhuwan Dhingra Carnegie Mellon University Neural Architectures for Reading and Reasoning over Documents
September 26, 2017
12:00 PM
NSH 1507
Jianbo Ye Pennsylvania State University Optimal Transport for Machine Learning: The State-of-the-art Numerical Tools
October 3, 2017
12:00 PM
NSH 1507
Nihar Shah Carnegie Mellon University Learning from People
October 10, 2017
12:00 PM
NSH 1507
Chun-Liang Li Carnegie Mellon University MMD GAN: Towards Deeper Understanding of Moment Matching Network
October 17, 2017
12:00 PM
NSH 3305
Xiaolong Wang Carnegie Mellon University Learning Visual Representations for Object Detection
October 24, 2017
12:00 PM
NSH 1507
Zhiting Hu Carnegie Mellon University On Unifying Deep Generative Models
October 31, 2017
12:00 PM
NSH 3305
David Abel Brown University Abstraction and Lifelong Reinforcement Learning
November 7, 2017
12:00 PM
NSH 1507
Hanxiao Liu Carnegie Mellon University Hierarchical Representations for Efficient Architecture Search
November 14, 2017
12:00 PM
NSH 3305
Nika Haghtalab Carnegie Mellon University Algorithms for Generalized Topic Modeling
November 21, 2017
12:00 PM
NSH 3305
Vaishnavh Nagarajan Carnegie Mellon University Gradient Descent GANs are locally stable
November 28, 2017
12:00 PM
NSH 3305
Brandon Amos Carnegie Mellon University Modern Convex Optimization within Deep Learning
December 5, 2017
12:00 PM
NSH 3305
Anson Kahng Carnegie Mellon University Impartial Rank Aggregation
December 12, 2017
12:00 PM
NSH 3305
Veeranjaneyulu Sadhanala Carnegie Mellon University Escaping saddle points in neural network training and other non-convex optimization problems

Links