Fall 2021:
| Date | Speaker | Title |
| 9/9/2021 | Alon Orlisky | Robust Learning from Batches: The Best Things in Life are (Almost) Free |
| 9/23/2021 | Qing Zhao | Random Walk on a Tree for Stochastic Search and Optimization |
| 10/7/2021 | Mary Wootters | Low-bandwidth Recovery of Linear Functions of Reed-Solomon-encoded Data |
| 10/21/2021 | Anna Scaglione | A User Guide to Low-Pass Graph Signal Processing and its Applications |
| 11/04/2021 | Steven H. Low | Optimal Power Flow and Smart EV Charging |
| 11/18/2021 | Vikram Krishnamurthy | Adversarial Filtering and Inverse Reinforcement Learning |
| 12/02/2021 | Jeff Shamma | Control Theoretic Modeling of Bounded Rationality in Games |
Spring 2022:
Fall 2022:
| Date | Speaker | Title |
| 09/08/2022 | Mark Wilde | Inevitability of Knowing Less Than Nothing |
| 09/22/2022 | FIND Community | FIND Graduate Day |
| 09/29/2022 | Haim Permuter | Data-Driven Approach for Estimating Information Measures |
| 10/06/2022 | Michael Bailey | The Role of Social Networks in Economic Mobility |
| 10/20/2022 | Angelia Nedic | Penalty Methods for Large-Scale Constrained Optimization Problems |
| 11/17/2022 | Youssef Mroueh | Learning with Stochastic Orders |
| 12/01/2022 | Yury Polyanskiy | Uniqueness of belief propagation fixed point |