| 2025 | ICASSP | Distributionally Robust Kalman Filtering over an Infinite-Horizon. | Joudi Hajar, Taylan Kargin, Vikrant Malik, Babak Hassibi |
| 2025 | ISIT | Distributionally Robust Scalar Quantization Using the Wasserstein Distance. | Vikrant Malik, Taylan Kargin, Victoria Kostina, Babak Hassibi |
| 2024 | ICML | Infinite-Horizon Distributionally Robust Regret-Optimal Control. | Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi |
| 2024 | ICML | Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. | Yingying Li, Jing Yu, Lauren E. Conger, Taylan Kargin, Adam Wierman |
| 2024 | ISIT | A Distributionally Robust Approach to Shannon Limits using the Wasserstein Distance. | Vikrant Malik, Taylan Kargin, Victoria Kostina, Babak Hassibi |
| 2023 | ICASSP | Asymptotic Distribution of Stochastic Mirror Descent Iterates in Average Ensemble Models. | Taylan Kargin, Fariborz Salehi, Babak Hassibi |
| 2022 | COLT | Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. | Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi |