| Date | Topic | Speaker |
|---|---|---|
| Thur 1.14 | Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition | Cameron Musco |
| Thur 1.21 | Ridge Leverage Scores for Low-Rank Approximation | Christopher Musco |
| Thur 1.28 | A Generative Approach For Semi-Supervised Clustering | Yen-Yun Yu |
| Thur 2.04 | [talk postponed] no meeting | |
| Thur 2.11 | Expanders via Local Edge Flips | Aditya Bhaskara |
| Thur 2.18 | First-Order Iterative Methods in the Design of Fast Algorithms: from Multiplicative Weight Updates to Nesterov’s Method | Lorenzo Orecchia |
| Thur 2.25 | The Robustness of Estimator Composition | Pingfan Tang |
| Thur 3.03 | Data science at Recursion: diseases, to images, to math, to new treatments | Blake Borgeson |
| Thur 3.10 | Cosmology with Spectroscopic Surveys: Scientific Goals and Interpretation of Noisy Data | Kyle Dawson |
| Thur 3.17 | (Fall Break - No Class) | |
| Thur 3.24 | Managing Geographic Uncertainty in Spatial Decision Making | Ran Wei |
| Thur 3.31 | 2-Edge Connectivity in Directed Graphs | Ashkan Bashardoust |
| Thur 4.07 | Online Aggregation and Ripple Join | Robert Christensen |
| Thur 4.14 | Two Cultures of Optimization | Faster Convex Optimization : Simulated Annealing with an Efficient Universal Barrier | Aditya Bhaskara |
| Thur 4.23 |