Time Series Predict DB. - Abdullah Omar Alomar; Muhammad J. Amjad; Robert Lindland; Devavrat Shah (CoRR, 2019)

tspDB: Time Series Predict DB. - Anish Agarwal; Abdullah Omar Alomar; Devavrat Shah (NeurIPS (Competition and Demos), 2020)

Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? - Anish Agarwal; Abdullah Omar Alomar; Arnab Sarker; Devavrat Shah; Dennis Shen; Cindy Yang (CoRR, 2020)

Synthetic Interventions. - Anish Agarwal; Abdullah Omar Alomar; Romain Cosson; Devavrat Shah; Dennis Shen (CoRR, 2020)

On Multivariate Singular Spectrum Analysis. - Anish Agarwal; Abdullah Omar Alomar; Devavrat Shah (CoRR, 2020)

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. - Anish Agarwal; Abdullah Omar Alomar; Varkey Alumootil; Devavrat Shah; Dennis Shen; Zhi Xu 001; Cindy Yang (NeurIPS, 2021)

Change Point Detection via Multivariate Singular Spectrum Analysis. - Arwa Alanqary; Abdullah Omar Alomar; Devavrat Shah (NeurIPS, 2021)

On Multivariate Singular Spectrum Analysis and Its Variants. - Anish Agarwal; Abdullah Omar Alomar; Devavrat Shah (SIGMETRICS (Abstracts), 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)

SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise. - Abdullah Omar Alomar; Munther A. Dahleh; Sean Mann; Devavrat Shah (NeurIPS, 2023)

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

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