Hoffman, Matthew W.
- Learning to learn by gradient descent by gradient descent
2016/06/14 by Marcin Andrychowicz, Misha Denil, Andrychowicz, Marcin +14 · 6 voices · 50 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #cs.LG #cs.NE
- Predictive Entropy Search for Efficient Global Optimization of Black-box\n Functions
2014/06/10 by José Miguel Hernández-Lobato, Matthew W. Hoffman, Hernández-Lobato, José Miguel +3 · 20 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Learned Optimizers that Scale and Generalize
2017/03/14 by Olga Wichrowska, Wichrowska, Olga, Niru Maheswaranathan +11 · 15 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
- Portfolio Allocation for Bayesian Optimization
2010/09/28 by Eric Brochu, Brochu, Eric, Matthew W. Hoffman +3 · 10 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms
- Distributed Distributional Deterministic Policy Gradients
2018/04/23 by Gabriel Barth-Maron, Matthew W. Hoffman, Barth-Maron, Gabriel +15 · 14 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Zebrafish Biomedical Research Applications
- Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
2015/02/18 by José Miguel Hernández-Lobato, Michael A. Gelbart, Hernández-Lobato, José Miguel +7 · 6 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Algorithms
- Large-Scale Visual Speech Recognition
2018/07/13 by Brendan Shillingford, Yannis Assael, Shillingford, Brendan +27 · 1 voice · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
- Acme: A Research Framework for Distributed Reinforcement Learning
2020/06/01 by Hoffman, Matthew W., Shahriari, Bobak, Aslanides, John +36 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A General Framework for Constrained Bayesian Optimization using Information-based Search
2015/11/30 by Hernández-Lobato, José Miguel, Gelbart, Michael A., Adams, Ryan P. +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
2017/07/11 by Serkan Cabi, Sergio Gómez Colmenarejo, Cabi, Serkan +9 · 1 voice
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI