Akhavan, Arya

7 publications

NeurIPS 2025 Non-Stationary Bandit Convex Optimization: A Comprehensive Study Xiaoqi Liu, Dorian Baudry, Julian Zimmert, Patrick Rebeschini, Arya Akhavan

JMLR 2024 Estimating the Minimizer and the Minimum Value of a Regression Function Under Passive Design Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov

JMLR 2024 Gradient-Free Optimization of Highly Smooth Functions: Improved Analysis and a New Algorithm Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov

NeurIPS 2022 A Gradient Estimator via L1-Randomization for Online Zero-Order Optimization with Two Point Feedback Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre Tsybakov

NeurIPS 2022 Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi, Arya Akhavan, John IF Falk, Leonardo Cella, Massimiliano Pontil

NeurIPS 2021 Distributed Zero-Order Optimization Under Adversarial Noise Arya Akhavan, Massimiliano Pontil, Alexandre Tsybakov

NeurIPS 2020 Exploiting Higher Order Smoothness in Derivative-Free Optimization and Continuous Bandits Arya Akhavan, Massimiliano Pontil, Alexandre Tsybakov