We meet online every Thursday 11:00AM EST.
| Date | Topic/Paper | Presenter | link to slides (if available) |
|---|---|---|---|
| May 5, 2022 | An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. G. Braun, H. Tyagi, C. Biernacki. ICML 2022 | Aseem Baranwal | |
| May 12, 2022 | An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. G. Braun, H. Tyagi, C. Biernacki. ICML 2022 | Aseem Baranwal | |
| May 19, 2022 | Similarity Search in High Dimensions via Hashing. A. Gionis, P. Indyk, R. Motwani. VLDB 1999 | Shenghao Yang | |
| June 2, 2022 | Similarity Search in High Dimensions via Hashing. A. Gionis, P. Indyk, R. Motwani. VLDB 1999 | Shenghao Yang | |
| June 16, 2022 | Learnable Graph Convolutional Attention Networks | Amit Levi | |
| June 23, 2022 | Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. E. Chien, W.-C. Chang, C.-J. Hsieh, H.-F. Yu, J. Zhang, O. Milenkovic, I. S. Dhillon. ICLR 2022 | Artur de Luca | |
| June 30, 2022 | Effects of Graph Convolutions in Deep Networks. A. Baranwal, K. Fountoulakis, A. Jagannath. | Aseem Baranwal |