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 Zico Kolter and the student coordinator is Adams Wei Yu. 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. See the AI@CMU Youtube channel here.

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

Schedule

Date Speaker Affiliation Title Host
January 17, 2017
12:00 PM
NSH 3305
Swaprava Nath Carnegie Mellon University Preference Elicitation For Participatory Budgeting
January 24, 2017
12:00 PM
NSH 3305
Hoda Heidari University of Pennsylvania Pricing a Low-regret Seller
January 31, 2017
12:00 PM
NSH 3305
Po-Wei Wang Carnegie Mellon University Polynomial optimization methods for matrix factorization
February 7, 2017
12:00 PM
NSH 3305
David Kurokawa Carnegie Mellon University Fairness Notions in the Indivisible Good Setting: Comparisons and their Approximations
February 21, 2017
12:00 PM
NSH 3305
Dirk Bergemann Yale University Information Design: A Unified Perspective
March 7, 2017
12:00 PM
NSH 3305
Han Zhao Carnegie Mellon University Sum-Product Networks: A New Probabilistic Inference Machine
March 14, 2017
12:00 PM
NSH 3305
Aaditya Ramdas UC Berkeley Multi A(rmed)/B(andit) Testing with online FDR control
March 21, 2017
12:00 PM
NSH 3305
Wen Sun Carnegie Mellon University Differentiable Imitation Learning and Sequential Prediction
March 28, 2017
12:00 PM
NSH 3305
Manzil Zaheer Carnegie Mellon University Exponential Stochastic Cellular Automata For Massively Parallel Inference
April 04, 2017
12:00 PM
NSH 3305
Hsiao-Yu Tung Carnegie Mellon University Adversarial Inversion: Self-supervision with Adversarial Priors
April 11, 2017
12:00 PM
NSH 3305
Jiaji Zhou Carnegie Mellon University Exploiting Task Mechanics for Contact-rich Robotic Manipulation: Mechanics Model Learning, Uncertainty Reduction and Control
April 18, 2017
12:00 PM
NSH 3305
Iyad Rahwan MIT The Psychological Dilemmas of Autonomous Vehicles
April 25, 2017
12:00 PM
NSH 3305
Noam Brown Carnegie Mellon University Differentiable Imitation Learning and Sequential Prediction
May 2, 2017
12:00 PM
NSH 3305
Travis Dick Carnegie Mellon University Data Driven Resource Allocation for Distributed Learning
May 9, 2017
12:00 PM
NSH 3305
Andrew Mao Microsoft Research Studying Teamwork and Cooperation in the Virtual Lab
May 16, 2017
12:00 PM
NSH 3305
Ramanathan V. Guha Schema.org Communicating Semantics

Links