Arash Nasr-Esfahany

According to our database, Arash Nasr-Esfahany authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Prediction-Guided Control in Data Center Networks.

Kevin Zhao, Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany, Anna Goncharenko, David Dai, Sidharth Lakshmanan, Claire Li, Mohammad Alizadeh, Thomas E. Anderson

CoRR, January, 2026

Predict, Prune, Play: Efficient Video Playback Optimization Under Device Diversity and Drift.

Harsha Sharma, Pouya Hamadanian, Arash Nasr-Esfahany, Zahaib Akhtar, Mohammad Alizadeh

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Glia: A Human-Inspired AI for Automated Systems Design and Optimization.

Pouya Hamadanian, Pantea Karimi, Arash Nasr-Esfahany, Kimia Noorbakhsh, Joseph Chandler, Ali ParandehGheibi, Mohammad Alizadeh, Hari Balakrishnan

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

m4: A Learned Flow-level Network Simulator.

Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany, Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson

CoRR, March, 2025

Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.

Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Online Reinforcement Learning in Non-Stationary Context-Driven Environments.

Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Direct Alignment with Heterogeneous Preferences.

Ali Shirali, Arash Nasr-Esfahany, Abdullah Omar Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D. Procaccia

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

2024

m3: Accurate Flow-Level Performance Estimation using Machine Learning.

Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

2023

Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments.

Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh

CoRR, 2023

Counterfactual (Non-)identifiability of Learned Structural Causal Models.

Arash Nasr-Esfahany, Emre Kiciman

CoRR, 2023

CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation.

Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Counterfactual Identifiability of Bijective Causal Models.

Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah

Proceedings of the International Conference on Machine Learning, 2023

2022

CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols.

Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah

CoRR, 2022

2021

Real-Time Video Inference on Edge Devices via Adaptive Model Streaming.

Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021