Shayan Kiyani

According to our database, Shayan Kiyani authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 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, February, 2025

The Relationship between No-Regret Learning and Online Conformal Prediction.

Ramya Ramalingam, Shayan Kiyani, Aaron Roth

CoRR, February, 2025

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents.

Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani

CoRR, February, 2025

2024

Length Optimization in Conformal Prediction.

Shayan Kiyani, George J. Pappas, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Conformal Prediction with Learned Features.

Shayan Kiyani, George J. Pappas, Hamed Hassani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.

Simone Bombari, Shayan Kiyani, Marco Mondelli

Proceedings of the International Conference on Machine Learning, 2023

2021

Sequential Estimation under Multiple Resources: a Bandit Point of View.

Alireza Masoumian, Shayan Kiyani, Mohammad Hossein Yassaee

CoRR, 2021