Kiyani, Shayan

7 publications

NeurIPS 2025 Conformal Inference Under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization Sunay Joshi, Shayan Kiyani, George J. Pappas, Edgar Dobriban, Hamed Hassani

NeurIPS 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

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

ICML 2025 The Relationship Between No-Regret Learning and Online Conformal Prediction Ramya Ramalingam, Shayan Kiyani, Aaron Roth

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

NeurIPS 2024 Length Optimization in Conformal Prediction Shayan Kiyani, George Pappas, Hamed Hassani

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