Arya Akhavan

Publications and Preprints

• Estimating the minimizer and the minimum value of a regression function under passive design

  A. Akhavan, D. Gogolashvili, and A. B. Tsybakov

  arXiv preprint arXiv:2211.16457. To appear in Journal of Machine Learning Research (JMLR). 2024

• Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm

  A. Akhavan, E. Chzhen, M. Pontil, and A. B. Tsybakov

  arXiv preprint arXiv:2306.02159. Under revision in Journal of Machine Learning Research (JMLR). 2023

• Group meritocratic fairness in linear contextual bandits

  R. Grazzi, A. Akhavan, J. Falk, L. Cella, and M. Pontil

  Advances in Neural Information Processing Systems (NeurIPS). 2022

• A gradient estimator via L1-randomization for online zero-order optimization with two point feedback

  A. Akhavan, E. Chzhen, M. Pontil, and A. B. Tsybakov

  Advances in Neural Information Processing Systems (NeurIPS). 2022

• Distributed zero-order optimization under adversarial noise

  A. Akhavan, M. Pontil, and A. B. Tsybakov

  Advances in Neural Information Processing Systems (NeurIPS). 2021

• Exploiting higher order smoothness in derivative-free optimization and continuous bandits

  A. Akhavan, M. Pontil, and A. B. Tsybakov

  Advances in Neural Information Processing Systems (NeurIPS). 2020