| Date | Speaker | Title |
| January 23, 2020 | Kyunghyun Cho | Natural Language sequence generation |
| January 28, 2020 | David Blei | Scaling and Generalizing Approximate Bayesian Inference |
| February 20, 2020 | Jef Schneider | Scaling up Bayesian Optimization For Real World Applications |
| March 12, 2020 | David Pfau | Solving the Many-Electron Schrödinger Equation with Deep Neural Networks |
| November 16, 2020 | Max Welling | Symmetries in deep learning |
| November 30, 202 | Rose Yu | Physics-Guided Deep Learning for Learning Spatiotemporal Dynamics |