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Publication search results
found 29 matches
- 2023
- 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) - Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. NeurIPS 2023 - 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 - 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
- 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
- Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen:
Reinforcement Learning, Bit by Bit. CoRR abs/2103.04047 (2021) - Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. CoRR abs/2107.08924 (2021) - 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
- Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. ICLR 2020 - Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh:
On Efficiency in Hierarchical Reinforcement Learning. NeurIPS 2020 - Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy:
Hypermodels for Exploration. CoRR abs/2006.07464 (2020) - 2014
- 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) - Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated Time-of-Flight Mass Spectrometry. IEEE Trans. Signal Process. 62(15): 3784-3798 (2014) - 2013
- José Bento, Morteza Ibrahimi:
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. CoRR abs/1308.4077 (2013) - Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy:
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. CoRR abs/1303.5984 (2013) - 2012
- Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy:
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. NIPS 2012: 2645-2653 - Morteza Ibrahimi, Yashodhan Kanoria, Matt Kraning, Andrea Montanari:
The set of solutions of random XORSAT formulae. SODA 2012: 760-779 - Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated time-of-flight mass spectrometry. SSP 2012: 432-435 - Morteza Ibrahimi, Andrea Montanari, George S. Moore:
Accelerated Time-of-Flight Mass Spectrometry. CoRR abs/1212.4269 (2012) - 2011
- Ashish Goel, Morteza Ibrahimi:
A renewable, modular, and time-responsive DNA circuit. Nat. Comput. 10(1): 467-485 (2011) - Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari:
Robust max-product belief propagation. ACSCC 2011: 43-49 - José Bento, Morteza Ibrahimi, Andrea Montanari:
Information theoretic limits on learning stochastic differential equations. ISIT 2011: 855-859 - José Bento, Morteza Ibrahimi, Andrea Montanari:
Information Theoretic Limits on Learning Stochastic Differential Equations. CoRR abs/1103.1689 (2011) - Morteza Ibrahimi, Yashodhan Kanoria, Matt Kraning, Andrea Montanari:
The Set of Solutions of Random XORSAT Formulae. CoRR abs/1107.5377 (2011) - Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari:
Robust Max-Product Belief Propagation. CoRR abs/1111.6214 (2011) - 2010
- José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. NIPS 2010: 172-180 - José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. CoRR abs/1011.0415 (2010) - 2009
- Ashish Goel, Morteza Ibrahimi:
Renewable, Time-Responsive DNA Logic Gates for Scalable Digital Circuits. DNA 2009: 67-77 - 2008
- Morteza Ibrahimi, Ben Liang:
Efficient Power Allocation in Cooperative OFDM System with Channel Variation. ICC 2008: 3022-3028
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