Arash Nasr-Esfahany

17 papers A* 5Misc 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prediction-Guided Control in Data Center Networks.
CoRR
Kevin Zhao, Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany, Anna Goncharenko, David Dai, Sidharth Lakshmanan, Claire Li, Mohammad Alizadeh, Thomas E. Anderson
2025 A* conf
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.
ISCA
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
2025 J jnl
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.
CoRR
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
2025 — conf
Direct Alignment with Heterogeneous Preferences.
EAAMO
Ali Shirali, Arash Nasr-Esfahany, Abdullah Omar Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D. Procaccia
2025 J jnl
Direct Alignment with Heterogeneous Preferences.
CoRR
Ali Shirali, Arash Nasr-Esfahany, Abdullah Omar Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D. Procaccia
2025 J jnl
Glia: A Human-Inspired AI for Automated Systems Design and Optimization.
CoRR
Pouya Hamadanian, Pantea Karimi, Arash Nasr-Esfahany, Kimia Noorbakhsh, Joseph Chandler, Ali ParandehGheibi, Mohammad Alizadeh, Hari Balakrishnan
2025 A* conf
Online Reinforcement Learning in Non-Stationary Context-Driven Environments.
ICLR
Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh
2025 J jnl
m4: A Learned Flow-level Network Simulator.
CoRR
Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany, Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
2024 A* conf
m3: Accurate Flow-Level Performance Estimation using Machine Learning.
SIGCOMM
Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
2023 Misc conf
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation.
NSDI
Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2023 J jnl
Counterfactual (Non-)identifiability of Learned Structural Causal Models.
CoRR
Arash Nasr-Esfahany, Emre Kiciman
2023 A* conf
Counterfactual Identifiability of Bijective Causal Models.
ICML
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
2023 J jnl
Counterfactual Identifiability of Bijective Causal Models.
CoRR
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
2023 J jnl
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments.
CoRR
Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh
2022 J jnl
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols.
CoRR
Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2021 A* conf
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming.
ICCV
Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh
2020 J jnl
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming.
CoRR
Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh