Efficient Estimation and Control of Unknown Stochastic Differential Equations. - Mohamad Kazem Shirani Faradonbeh; Mohamad Sadegh Shirani Faradonbeh (CoRR, 2021)

Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems. - Mohamad Kazem Shirani Faradonbeh; Mohamad Sadegh Shirani Faradonbeh (CoRR, 2021)

Thompson Sampling Efficiently Learns to Control Diffusion Processes. - Mohamad Kazem Shirani Faradonbeh; Mohamad Sadegh Shirani Faradonbeh; Mohsen Bayati (NeurIPS, 2022)

Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games. - Mostafa Ameli; Mohamad Sadegh Shirani Faradonbeh; Jean-Patrick Lebacque; Hossein Abouee-Mehrizi; Ludovic Leclercq (Transp. Sci., 2022)

Online Reinforcement Learning in Stochastic Continuous-Time Systems. - Mohamad Kazem Shirani Faradonbeh; Mohamad Sadegh Shirani Faradonbeh (COLT, 2023)

Higher-Order Causal Message Passing for Experimentation with Complex Interference. - Mohsen Bayati; Yuwei Luo; William Overman; Mohamad Sadegh Shirani Faradonbeh; Ruoxuan Xiong (NeurIPS, 2024)