Tuesday, September 10th 2019
| Toward theoretical understanding of deep learning | |
| Speaker: | Sanjeev Arora |
| Time: | 11:45am-1:30pm |
| Location: | *Princeton University, McDonnell A-02* |
Wednesday, September 11th 2019
| To Be Announced | |
| Speaker: | To Be Announced |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Tuesday, October 1st 2019
| A geometric data structure from neuroscience | |
| Speaker: | Sanjoy Dasgupta |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |
Tuesday, October 8th 2019
| Unsupervised Ensemble Learning | |
| Speaker: | Boaz Nadler |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |
Wednesday, October 9th 2019
| Designing Fast and Robust Learning Algorithms | |
| Speaker: | Yu Cheng |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Wednesday, October 16th 2019
| Speaker: | NO SEMINAR ON THIS DATE |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Tuesday, October 22nd 2019
| Machine Learning Techniques for Many-Body Quantum Systems | |
| Speaker: | Giuseppe Carleo |
| Time: | 11:45am-12:30pm |
| Location: | *Princeton University, 407 Jadwin Hall, PCTS Seminar Room* |
Tuesday, October 22nd 2019
| Autoregressive Simulation of Many-Body Quantum Systems | |
| Speaker: | Or Sharir |
| Time: | 2:00pm-3:00pm |
| Location: | *Princeton University, 407 Jadwin Hall, PCTS Seminar Room* |
Wednesday, October 23rd 2019
| Optimization Landscape and Two-Layer Neural Networks | |
| Speaker: | Rong Ge |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Tuesday, October 29th 2019
| TBA | |
| Speaker: | Rachel Ward |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |
Tuesday, November 5th 2019
| On implicit regularization and autotuning of normalization in deep learning | |
| Speaker: | Rachel Ward |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |
Wednesday, November 6th 2019
| Speaker: | No Seminar - Workshop on Social and Ethical Challenges in Machine Learning |
| Time: | 12:00pm-1:30pm |
| Location: | |
Tuesday, November 12th 2019
| Fast IRLS Algorithms for p-norm regression | |
| Speaker: | Sushant Sachdeva |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |
Wednesday, November 13th 2019
| Some Statistical Results on Deep Learning: Interpolation, Optimality and Sparsity | |
| Speaker: | Guang Cheng |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Friday, November 15th 2019
| Can learning theory resist deep learning? | |
| Speaker: | Francis Bach |
| Time: | 12:30pm-1:30pm |
| Location: | Princeton University, Computer Science - Room 105 |
Tuesday, November 19th 2019
| TBA | |
| Speaker: | Kyle Cranmer |
| Time: | 11:45am-12:30pm |
| Location: | *Princeton University, 407 Jadwin Hall, PCTS Seminar Room* |
Tuesday, November 19th 2019
| TBA | |
| Speaker: | James Halverson |
| Time: | 2:00pm-3:00pm |
| Location: | *Princeton University, 407 Jadwin Hall, PCTS Seminar Room* |
Wednesday, November 20th 2019
| Nonconvex Minimax Optimization | |
| Speaker: | Chi Jin |
| Time: | 12:00pm-1:30pm |
| Location: | Dilworth Room |
Tuesday, November 26th 2019
| A Fourier Analysis Perspective of Training Dynamics of Deep Neural Networks | |
| Speaker: | Yaoyu Zhang |
| Time: | 11:30am-12:30pm |
| Location: | White-Levy |
Tuesday, December 3rd 2019
| A distributional code for value in dopamine-based reinforcement learning | |
| Speaker: | Matthew Botvinick |
| Time: | 3:00pm-4:30pm |
| Location: | Princeton Neuroscience Institute, Room A32 |
Tuesday, December 17th 2019
| How will we do mathematics in 2030 ? | |
| Speaker: | Michael R. Douglas |
| Time: | 12:00pm-1:30pm |
| Location: | White-Levy |