Mohammad Shahverdikondori
PhD student.
ODY room 4-16
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
I am currently pursuing my PhD at the College of Management of Technology at EPFL, under the supervision of Prof. Negar Kiyavash. My research focuses on multi-armed bandit problems, particularly in settings with structured arms, with additional interests in causal inference. Prior to this, I completed my Bachelor’s degree in Computer Science at Sharif University of Technology (2018-2023).
You can see my full CV here(last update: March 2026).
news
| Feb 2026 | Our new work on the “Neighborhood-Aware Graph Labeling Problem” is now available on arXiv. |
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| Jan 2026 | Our paper “Graph Learning is Suboptimal in Causal Bandits” has been accepted to AISTATS 2026. |
| Oct 2025 | We have also posted “Learning Peer Influence Probabilities with Linear Contextual Bandits” on arXiv. |
| Oct 2025 | Our preprint “Graph Learning is Suboptimal in Causal Bandits” is now available on arXiv. |
| May 2025 | Our latest preprint, “Best Group Identification in Multi-Objective Bandits”, is now on arXiv. |
| Mar 2025 | We released two new preprints on arXiv: “Optimal Best Arm Identification with Post-Action Context” and “Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference”. |
| Nov 2024 | The preprint version of our QWO paper on speeding up causal discovery in linear Gaussian models is now available on arXiv. |
| Sep 2024 | Our paper “QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs” has been accepted for presentation at NeurIPS 2024. |
| Oct 2023 | I started my PhD at EPFL  |
| Apr 2023 | Our preprint on aligning human action videos is now available on arXiv. |