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 Han Zhao. 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. 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 Han Zhao for arrangement.

Schedule

Date Speaker Affiliation Title Video Link
Jan 29, 2019
12:00 PM
NSH 3305
Wen Sun Carnegie Mellon University Towards Generalization and Efficiency in Reinforcement Learning
Feb 5, 2019
12:00 PM
NSH 3305
Graham Yennie Lucas Systems Machine Learning in Production: A Collection of Lessons Learned from Deploying ML Across Industries
Feb 12, 2019
12:00 PM
NSH 3305
Hsiao-Yu Fish Tung Carnegie Mellon University Geometry-Aware Recurrent Networks: A visual system for embodied agents
Feb 19, 2019
12:00 PM
NSH 3305
Simon Shaolei Du Carnegie Mellon University Understanding Optimization and Generalization in Deep Learning: A Trajectory-based Analysis
Feb 26, 2019
12:00 PM
NSH 3305
Eric Wong Carnegie Mellon University Provable defenses against adversarial attacks: from linear programming to dual networks
Mar 5, 2019
12:00 PM
NSH 3305
Anson Kahng Carnegie Mellon University Statistical Foundations of Virtual Democracy
Mar 19, 2019
12:00 PM
GHC 8102
Yuexin Wu Carnegie Mellon University Deep Learning for Epidemiological Predictions
Mar 26, 2019
12:00 PM
NSH 3305
Jeremy Cohen Carnegie Mellon University Certified Adversarial Robustness via Randomized Smoothing
Apr 2, 2019
12:00 PM
NSH 3305
Padmanabhan Anandan Wadhwani Institute for Artificial Intelligence AI Solutions for the Underserved Billons
Apr 9, 2019
12:00 PM
NSH 3305
Omer Ben-Porat Technion - Israel Institute of Technology Regression Equilibrium
Apr 16, 2019
12:00 PM
NSH 3305
Otilia Stretcu Carnegie Mellon University Contextual Parameter Generation for Knowledge Graph Link Prediction
Apr 22, 2019
10:30 AM
GHC 6115
Richard Zemel University of Toronto Controlling the Black Box: Learning Manipulable and Fair Representations
Apr 30, 2019
12:00 PM
NSH 3305
Junjie Hu Carnegie Mellon University Cross-Lingual and Cross Domain Transfer for Neural Machine Translation

Links