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2020 – today
- 2024
[j1]Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov:
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design. J. Mach. Learn. Res. 25: 11:1-11:37 (2024)- [i3]Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov:
Contextual Continuum Bandits: Static Versus Dynamic Regret. CoRR abs/2406.05714 (2024) - 2022
- [c4]Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov:
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback. NeurIPS 2022 - [c3]Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil:
Group Meritocratic Fairness in Linear Contextual Bandits. NeurIPS 2022 - [i2]Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk
, Leonardo Cella, Massimiliano Pontil:
Group Meritocratic Fairness in Linear Contextual Bandits. CoRR abs/2206.03150 (2022) - 2021
- [c2]Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov:
Distributed Zero-Order Optimization under Adversarial Noise. NeurIPS 2021: 10209-10220 - 2020
- [c1]Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov:
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits. NeurIPS 2020 - [i1]Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov:
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits. CoRR abs/2006.07862 (2020)
Coauthor Index
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