NIPS2018_Notes.md

Tutorial: Adversarial Robustness

https://adversarial-ml-tutorial.org/

Tutorial: Visualization

https://static.googleusercontent.com/media/research.google.com/en//bigpicture/ML_Visualization_NeurIPS_Tutorial.pdf?fbclid=IwAR1S8vQJT4RQ5hErV7zQlsasB-gK-KDhC_HncJMUumQmB-at2mJPae1YEBQ

Tutorial: AutoML

• Algo. + hyperparameters -> joint training
• hyperparameters optimization -> blackbox (too slow for large datasets)
• blackbox <- bayersian optimization
• Non-blackbox approaches
  • hyperparameter Gradient Descent
  • Probabilistic extropolation of learning curve
  • Multi-fidelity optimization

https://www.automl.org/