- Scaling Laws for Hyperparameter Optimization
2023/02/01 by Arlind Kadra, Kadra, Arlind, Maciej Janowski +5 · 1 voice · 5 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Bayesian optimization #Competitor analysis #Computer science #Data Stream Mining Techniques #Exploit #Hyperparameter #Hyperparameter optimization #Machine Learning and Data Classification #Machine learning #Mathematical optimization #Mathematics #Support vector machine
- Efficient Concurrent Design of the Morphology of Unmanned Aerial Systems and their Collective-Search Behavior
2022/09/26 by Prajit KrisshnaKumar, Zeng, Chen, KrisshnaKumar, Prajit +4 · 1 citation
Computer Science · Engineering · #Artificial intelligence #Bayesian optimization #Collective behavior #Computer science #Distributed Control Multi-Agent Systems #Evolutionary algorithm #FOS: Computer and information sciences #Machine learning #Outcome (game theory) #Process (computing) #Robot #Robotic Path Planning Algorithms #Robotics #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Swarm behaviour #Swarm robotics
- Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
2021/05/20 by S. Ashwin Renganathan, Jeffrey Larson, Renganathan, S. Ashwin +3 · 2 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Artificial intelligence #Bayesian optimization #Bayesian probability #Bellman equation #Computation (stat.CO) #Computer science #FOS: Computer and information sciences #FOS: Mathematics #Function (biology) #Gaussian Processes and Bayesian Inference #Horizon #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Maximization #Optimization and Control (math.OC) #Oracle #Time horizon #math.OC #stat.CO
- Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation
2021/01/24 by Subhasish Basak, Sébastien Petit, Julien Bect +2 · 1 voice · 1 citation
Computer Science · Decision Sciences · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Artificial intelligence #Bayesian optimization #Bayesian probability #Computer science #Estimation theory #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Implementation #Interpolation (computer graphics) #Machine learning #Mathematical optimization #Mathematics #Maximum likelihood #Process (computing) #Programming language #Simulation Techniques and Applications #Software engineering #Statistics
- Bayesian optimization with local search
2019/11/20 by Yuzhou Gao, Tengchao Yu, Gao, Yuzhou +3 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Artificial intelligence #Bayesian optimization #Bayesian probability #Class (philosophy) #Computer science #Engineering #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Function (biology) #Function optimization #Genetic algorithm #Global optimization #Local optimum #Local search (optimization) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Optimization problem #Range (aeronautics) #cs.LG #math.OC #stat.ML
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015/12/10 by Bobak Shahriari, Kevin Swersky, Ziyu Wang +2 · 525 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Artificial intelligence #Bayesian optimization #Bayesian probability #Computer science #Gaussian Processes and Bayesian Inference #Human-in-the-loop #Loop (graph theory) #Mathematics
- Scalable Bayesian Optimization Using Deep Neural Networks
2015/02/19 by Jasper Snoek, Oren Rippel, Snoek, Jasper +15 · 2 voices · 97 citations
Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Artificial intelligence #Artificial neural network #Bayesian optimization #Benchmark (surveying) #Computer science #Convolutional neural network #Deep learning #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Global Positioning System #Hyperparameter #Machine Learning and Data Classification #Machine learning #Optimization problem #Scalability #Scale (ratio) #Surrogate model #stat.ML