Morteza Ibrahimi

According to our database, Morteza Ibrahimi authored at least 18 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Reinforcement Learning, Bit by Bit.

Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen

Found. Trends Mach. Learn., 2023

Approximate Thompson Sampling via Epistemic Neural Networks.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Epistemic Neural Networks.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Neural Testbed: Evaluating Joint Predictions.

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy

CoRR, 2021

Epistemic Neural Networks.

Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy

CoRR, 2021

2020

On Efficiency in Hierarchical Reinforcement Learning.

Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hypermodels for Exploration.

Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy

Proceedings of the 8th International Conference on Learning Representations, 2020

2014

Accelerated Time-of-Flight Mass Spectrometry.

Morteza Ibrahimi, Andrea Montanari, George S. Moore

IEEE Trans. Signal Process., 2014

Support Recovery for the Drift Coefficient of High-Dimensional Diffusions.

José Bento Ayres Pereira, Morteza Ibrahimi

IEEE Trans. Inf. Theory, 2014

2012

The set of solutions of random XORSAT formulae.

Morteza Ibrahimi, Yashodhan Kanoria, Matt Kraning, Andrea Montanari

Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems.

Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

A renewable, modular, and time-responsive DNA circuit.

Ashish Goel, Morteza Ibrahimi

Nat. Comput., 2011

Information theoretic limits on learning stochastic differential equations.

José Bento, Morteza Ibrahimi, Andrea Montanari

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Robust max-product belief propagation.

Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Learning Networks of Stochastic Differential Equations.

José Bento, Morteza Ibrahimi, Andrea Montanari

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Renewable, Time-Responsive DNA Logic Gates for Scalable Digital Circuits.

Ashish Goel, Morteza Ibrahimi

Proceedings of the DNA Computing and Molecular Programming, 15th International Conference, 2009

2008

Efficient Power Allocation in Cooperative OFDM System with Channel Variation.

Morteza Ibrahimi, Ben Liang

Proceedings of IEEE International Conference on Communications, 2008