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Morteza Ibrahimi
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2020 – today
- 2023
- [j4]Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen:
Reinforcement Learning, Bit by Bit. Found. Trends Mach. Learn. 16(6): 733-865 (2023) - [c13]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. NeurIPS 2023 - [c12]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Approximate Thompson Sampling via Epistemic Neural Networks. UAI 2023: 1586-1595 - [i12]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Approximate Thompson Sampling via Epistemic Neural Networks. CoRR abs/2302.09205 (2023) - 2022
- [c11]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy:
The Neural Testbed: Evaluating Joint Predictions. NeurIPS 2022 - 2021
- [i11]Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen:
Reinforcement Learning, Bit by Bit. CoRR abs/2103.04047 (2021) - [i10]Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. CoRR abs/2107.08924 (2021) - [i9]Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy:
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR abs/2110.04629 (2021) - 2020
- [c10]Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. ICLR 2020 - [c9]Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh:
On Efficiency in Hierarchical Reinforcement Learning. NeurIPS 2020 - [i8]Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. CoRR abs/2006.07464 (2020)
2010 – 2019
- 2014
- [j3]José Bento Ayres Pereira, Morteza Ibrahimi:
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. IEEE Trans. Inf. Theory 60(7): 4026-4049 (2014) - [j2]Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated Time-of-Flight Mass Spectrometry. IEEE Trans. Signal Process. 62(15): 3784-3798 (2014) - 2013
- [i7]Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy:
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. CoRR abs/1303.5984 (2013) - [i6]José Bento, Morteza Ibrahimi:
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. CoRR abs/1308.4077 (2013) - 2012
- [c8]Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy:
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. NIPS 2012: 2645-2653 - [c7]Morteza Ibrahimi, Yashodhan Kanoria, Matt Kraning, Andrea Montanari:
The set of solutions of random XORSAT formulae. SODA 2012: 760-779 - [c6]Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated time-of-flight mass spectrometry. SSP 2012: 432-435 - [i5]Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated Time-of-Flight Mass Spectrometry. CoRR abs/1212.4269 (2012) - 2011
- [j1]Ashish Goel, Morteza Ibrahimi:
A renewable, modular, and time-responsive DNA circuit. Nat. Comput. 10(1): 467-485 (2011) - [c5]Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari:
Robust max-product belief propagation. ACSCC 2011: 43-49 - [c4]José Bento, Morteza Ibrahimi, Andrea Montanari:
Information theoretic limits on learning stochastic differential equations. ISIT 2011: 855-859 - [i4]José Bento, Morteza Ibrahimi, Andrea Montanari:
Information Theoretic Limits on Learning Stochastic Differential Equations. CoRR abs/1103.1689 (2011) - [i3]Morteza Ibrahimi, Yashodhan Kanoria, Matt Kraning, Andrea Montanari:
The Set of Solutions of Random XORSAT Formulae. CoRR abs/1107.5377 (2011) - [i2]Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari:
Robust Max-Product Belief Propagation. CoRR abs/1111.6214 (2011) - 2010
- [c3]José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. NIPS 2010: 172-180 - [i1]José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. CoRR abs/1011.0415 (2010)
2000 – 2009
- 2009
- [c2]Ashish Goel, Morteza Ibrahimi:
Renewable, Time-Responsive DNA Logic Gates for Scalable Digital Circuits. DNA 2009: 67-77 - 2008
- [c1]Morteza Ibrahimi, Ben Liang:
Efficient Power Allocation in Cooperative OFDM System with Channel Variation. ICC 2008: 3022-3028
Coauthor Index
aka: Vikranth Dwaracherla
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