Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. - Mehrdad Khani Shirkoohi; Pouya Hamadanian; Arash Nasr-Esfahany; Mohammad Alizadeh (ICCV, 2021)

CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. - Abdullah Alomar; Pouya Hamadanian; Arash Nasr-Esfahany; Anish Agarwal; Mohammad Alizadeh; Devavrat Shah (CoRR, 2022)

Counterfactual Identifiability of Bijective Causal Models. - Arash Nasr-Esfahany; Mohammad Alizadeh; Devavrat Shah (ICML, 2023)

CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. - Abdullah Alomar; Pouya Hamadanian; Arash Nasr-Esfahany; Anish Agarwal; Mohammad Alizadeh; Devavrat Shah (NSDI, 2023)

Counterfactual (Non-)identifiability of Learned Structural Causal Models. - Arash Nasr-Esfahany; Emre Kiciman (CoRR, 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)

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 (SIGCOMM, 2024)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments. - Pouya Hamadanian; Arash Nasr-Esfahany; Malte Schwarzkopf; Siddhartha Sen 001; Mohammad Alizadeh (ICLR, 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 (ISCA, 2025)

Direct Alignment with Heterogeneous Preferences. - Ali Shirali; Arash Nasr-Esfahany; Abdullah Alomar; Parsa Mirtaheri; Rediet Abebe; Ariel D. Procaccia (CoRR, 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, 2025)