Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits. - Arya Akhavan; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2020)

Distributed Zero-Order Optimization under Adversarial Noise. - Arya Akhavan; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2021)

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback. - Arya Akhavan; Evgenii Chzhen; Massimiliano Pontil; Alexandre B. Tsybakov (NeurIPS, 2022)

Group Meritocratic Fairness in Linear Contextual Bandits. - Riccardo Grazzi; Arya Akhavan; John Isak Texas Falk; Leonardo Cella; Massimiliano Pontil (NeurIPS, 2022)

Contextual Continuum Bandits: Static Versus Dynamic Regret. - Arya Akhavan; Karim Lounici; Massimiliano Pontil; Alexandre B. Tsybakov (CoRR, 2024)

Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design. - Arya Akhavan; Davit Gogolashvili; Alexandre B. Tsybakov (J. Mach. Learn. Res., 2024)

Gradient-free stochastic optimization for additive models. - Arya Akhavan; Alexandre B. Tsybakov (CoRR, 2025)

Non-stationary Bandit Convex Optimization: A Comprehensive Study. - Xiaoqi Liu; Dorian Baudry; Julian Zimmert; Patrick Rebeschini; Arya Akhavan (CoRR, 2025)