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Matthew W. Hoffman

Observed names: Hoffman, MW, Hoffman, Matt W., Hoffman, Matthew, Hoffman, Matthew W., Hoffman, Matthew William
OpenAlex ID: A5110357506
Learning to learn by gradient descent by gradient descent
2016 · Andrychowicz, Marcin, Denil, Misha, et al. · arXiv (Cornell University) · 1,482
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Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
2014 · Hernández-Lobato, José Miguel, Hoffman, Matthew W., et al. · arXiv (Cornell University) · 434
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Distributed Distributional Deterministic Policy Gradients
2018 · Barth-Maron, Gabriel, Hoffman, Matthew W., et al. · arXiv (Cornell University) · 397
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Learning to Learn without Gradient Descent by Gradient Descent
2016 · Chen, Yutian, Hoffman, Matthew W., et al. · arXiv (Cornell University) · 195
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Large-Scale Visual Speech Recognition
2019 · Brendan Shillingford, Yannis Assael, et al. · Interspeech (USB) · 172
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Learned Optimizers that Scale and Generalize
2017 · Wichrowska, Olga, Maheswaranathan, Niru, et al. · arXiv (Cornell University) · 158
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A General Framework for Constrained Bayesian Optimization using Information-based Search
2015 · Hernández-Lobato, JM, Gelbart, MA, et al. · arXiv (Cornell University) · 132
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Portfolio Allocation for Bayesian Optimization
2010 · Brochu, Eric, Hoffman, Matthew W., et al. · arXiv (Cornell University) · 107
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Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
2015 · Hernández-Lobato, José Miguel, Gelbart, Michael A., et al. · arXiv (Cornell University) · 104
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A probabilistic model of gaze imitation and shared attention
2006 · Matthew W. Hoffman, David B. Grimes, et al. · Neural Networks · 80
Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization
2012 · Matthew W. Hoffman, Alessandro Lazaric, et al. · Lecture notes in computer science · 33
Learning to Learn for Global Optimization of Black Box Functions.
2016 · Yutian Chen, Matthew W. Hoffman, et al. · arXiv (Cornell University) · 24
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
2017 · Cabi, Serkan, Colmenarejo, Sergio Gómez, et al. · arXiv (Cornell University) · 23
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One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
2018 · Paine, Tom Le, Colmenarejo, Sergio Gómez, et al. · arXiv (Cornell University) · 17
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Modular Meta-Learning with Shrinkage
2019 · Chen, Yutian, Friesen, Abram L., et al. · arXiv (Cornell University) · 16
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Regularized Behavior Value Estimation
2021 · Gulcehre, Caglar, Colmenarejo, Sergio Gómez, et al. · arXiv (Cornell University) · 13
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Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization
2013 · Hoffman, Matthew W., Shahriari, Bobak, et al. · arXiv (Cornell University) · 11
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Launchpad: A Programming Model for Distributed Machine Learning Research
2021 · Yang, Fan, Barth-Maron, Gabriel, et al. · arXiv (Cornell University) · 8
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Decision making with inference and learning methods
2013 · Hoffman, Matthew William · cIRcle (University of British Columbia) · 1
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Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
2023 · Emedom-Nnamdi, Patrick, Friesen, Abram L., et al. · arXiv (Cornell University)
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Predictive Entropy Search for Bayesian Optimization with Unknown Constraints Supplementary Material
2015 · Michael A. Gelbart, Matthew W. Hoffman, et al.
Best arm identification via Bayesian gap-based exploration
2013 · Matthew W. Hoffman, Bobak Shahriari, et al. · arXiv (Cornell University)
Works count: 26
Citation count: 3,457
H-index: 16
I10-index: 18
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