Decentralized control problems with substitutable actions. - Seyed Mohammad Asghari; Ashutosh Nayyar (CDC, 2015)

Optimal local and remote controllers with unreliable communication. - Yi Ouyang 002; Seyed Mohammad Asghari; Ashutosh Nayyar (CDC, 2016)

Stochastic teams with randomized information structures. - Yi Ouyang 002; Seyed Mohammad Asghari; Ashutosh Nayyar (CDC, 2017)

Dynamic Teams and Decentralized Control Problems With Substitutable Actions. - Seyed Mohammad Asghari; Ashutosh Nayyar (IEEE Trans. Autom. Control., 2017)

Decentralized Control of Stochastically Switched Linear System with Unreliable Communication. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar (ACC, 2018)

Optimal local and remote controllers with unreliable communication: the infinite horizon case. - Yi Ouyang 002; Seyed Mohammad Asghari; Ashutosh Nayyar (ACC, 2018)

Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar; Amir Salman Avestimehr (ICC, 2018)

Learning to Code: Coded Caching via Deep Reinforcement Learning. - Navid Naderializadeh; Seyed Mohammad Asghari (ACSSC, 2019)

Optimal Local and Remote Controllers With Unreliable Uplink Channels. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar (IEEE Trans. Autom. Control., 2019)

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar; Amir Salman Avestimehr (IEEE Trans. Commun., 2019)

Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem. - Seyed Mohammad Asghari; Mukul Gagrani; Ashutosh Nayyar (ACC, 2020)

Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar (UAI, 2020)

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Botao Hao; Morteza Ibrahimi; Dieterich Lawson; Xiuyuan Lu; Brendan O'Donoghue; Benjamin Van Roy (CoRR, 2021)

Optimal Infinite Horizon Decentralized Networked Controllers With Unreliable Communication. - Yi Ouyang 002; Seyed Mohammad Asghari; Ashutosh Nayyar (IEEE Trans. Autom. Control., 2021)

The Neural Testbed: Evaluating Joint Predictions. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Xiuyuan Lu; Morteza Ibrahimi; Dieterich Lawson; Botao Hao; Brendan O'Donoghue; Benjamin Van Roy (NeurIPS, 2022)

Evaluating high-order predictive distributions in deep learning. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Xiuyuan Lu; Benjamin Van Roy (UAI, 2022)

Robustness of Epinets against Distributional Shifts. - Xiuyuan Lu; Ian Osband; Seyed Mohammad Asghari; Sven Gowal; Vikranth Dwaracherla; Zheng Wen 002; Benjamin Van Roy (CoRR, 2022)

Fine-Tuning Language Models via Epistemic Neural Networks. - Ian Osband; Seyed Mohammad Asghari; Benjamin Van Roy; Nat McAleese; John Aslanides; Geoffrey Irving (CoRR, 2022)

Epistemic Neural Networks. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Morteza Ibrahimi; Xiuyuan Lu; Benjamin Van Roy (NeurIPS, 2023)

Approximate Thompson Sampling via Epistemic Neural Networks. - Ian Osband; Zheng Wen 002; Seyed Mohammad Asghari; Vikranth Dwaracherla; Morteza Ibrahimi; Xiuyuan Lu; Benjamin Van Roy (UAI, 2023)

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. - Vikranth Dwaracherla; Zheng Wen 002; Ian Osband; Xiuyuan Lu; Seyed Mohammad Asghari; Benjamin Van Roy (Trans. Mach. Learn. Res., 2023)

Efficient Exploration for LLMs. - Vikranth Dwaracherla; Seyed Mohammad Asghari; Botao Hao; Benjamin Van Roy (ICML, 2024)