14
Toggle Poster Visibility
Tutorial
Mon Dec 3rd 08:30 -- 10:30 AM @ Room 517 CD
Scalable Bayesian Inference
Tutorial
Mon Dec 3rd 08:30 -- 10:30 AM @ Room 220 E
Visualization for Machine Learning
Tutorial
Mon Dec 3rd 08:30 -- 10:30 AM @ Room 220 CD
Adversarial Robustness: Theory and Practice
Tutorial
Mon Dec 3rd 11:00 AM -- 01:00 PM @ Room 517 CD
Negative Dependence, Stable Polynomials, and All That
Tutorial
Mon Dec 3rd 11:00 AM -- 01:00 PM @ Room 220 CD
Unsupervised Deep Learning
Tutorial
Mon Dec 3rd 11:00 AM -- 01:00 PM @ Room 220 E
Common Pitfalls for Studying the Human Side of Machine Learning
Tutorial
Mon Dec 3rd 02:30 -- 04:30 PM @ Room 220 E
Statistical Learning Theory: a Hitchhiker's Guide
Tutorial
Mon Dec 3rd 02:30 -- 04:30 PM @ Room 517 CD
Counterfactual Inference
Tutorial
Mon Dec 3rd 02:30 -- 04:30 PM @ Room 220 CD
Automatic Machine Learning
Invited Talk
Mon Dec 3rd 05:30 -- 06:20 PM @ Room 220 CD
Accountability and Algorithmic Bias: Why Diversity and Inclusion Matters