2:00:23
Fernanda Viégas and Martin Wattenberg: Visualization for Machine Learning (NeurIPS 2018 Tutorial)
Steven Van Vaerenbergh
2:00:03
J. Z. Kolter and A. Madry: Adversarial Robustness - Theory and Practice (NeurIPS 2018 Tutorial)
1:55:16
Common Pitfalls for Studying the Human Side of Machine Learning (NeurIPS 2018 Tutorial)
1:58:09
Shawe-Taylor and Rivasplata: Statistical Learning Theory - a Hitchhiker's Guide (NeurIPS 2018)
1:59:15
Alex Graves and Marc'Aurelio Ranzato: Unsupervised Deep Learning (NeurIPS 2018 Tutorial)
2:07:57
David Dunson: Scalable Bayesian Inference (NeurIPS 2018 Tutorial)
