Sequential Estimation under Multiple Resources: a Bandit Point of View. - Alireza Masoumian; Shayan Kiyani; Mohammad Hossein Yassaee (CoRR, 2021)

Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels. - Simone Bombari; Shayan Kiyani; Marco Mondelli (ICML, 2023)

Conformal Prediction with Learned Features. - Shayan Kiyani; George J. Pappas; Hamed Hassani (ICML, 2024)

Length Optimization in Conformal Prediction. - Shayan Kiyani; George J. Pappas; Hamed Hassani (NeurIPS, 2024)

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents. - Shayan Kiyani; George J. Pappas; Aaron Roth 001; Hamed Hassani (CoRR, 2025)

The Relationship between No-Regret Learning and Online Conformal Prediction. - Ramya Ramalingam; Shayan Kiyani; Aaron Roth 001 (CoRR, 2025)

Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts. - Sunay Joshi; Shayan Kiyani; George J. Pappas; Edgar Dobriban; Hamed Hassani (CoRR, 2025)

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models. - Sima Noorani; Shayan Kiyani; George J. Pappas; Hamed Hassani (CoRR, 2025)