Preprints

  1. Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh. (2023). Online Reinforcement Learning in Non-Stationary Context-Driven Environments. arXiv. https://arxiv.org/abs/2302.02182
  2. Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh. (2022). Demystifying Reinforcement Learning in Time-Varying Systems. arXiv. https://arxiv.org/abs/2201.05560

Refereed conference proceedings

  1. Pouya Hamadanian, Doug Gallatin, Mohammad Alizadeh, Krishna Chintalapudi. (2023). Ekho: Synchronizing Cloud Gaming Media across Multiple Endpoints. Proceedings of the ACM SIGCOMM 2023 Conference, 533–549. https://doi.org/10.1145/3603269.3604826
  2. Abdullah Alomar*, Pouya Hamadanian*, Arash Nasr-Esfahany*, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah. (2023). CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), 1115–1147. https://www.usenix.org/conference/nsdi23/presentation/alomar
  3. Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh. (2021). Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 4572–4582.

Refereed workshop papers

  1. Pouya Hamadanian, Behnaz Arzani, Sadjad Fouladi, Siva Kesava Reddy Kakarla, Rodrigo Fonseca, Denizcan Billor, Ahmad Cheema, Edet Nkposong, Ranveer Chandra. (2023). A Holistic View of AI-driven Network Incident Management. The 21st ACM Workshop on Hot Topics in Networks (HotNets ’23).
  2. Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen. (2022). How Reinforcement Learning Systems Fail and What to do About It. The 2nd Workshop on Machine Learning and Systems (EuroMLSys).