Artem Artemev

1. Scalable Thompson Sampling using Sparse Gaussian Process Models
   2020/06/09 by Sattar Vakili, Henry B. Moss, Vakili, Sattar +7 · 5 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
2. Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
   2021/02/16 by Artem Artemev, David R. Burt, Artemev, Artem +3 · 3 citations
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Bayesian Image Classification with Deep Convolutional Gaussian Processes
   2019/02/15 by Vincent Dutordoir, Mark van der Wilk, Dutordoir, Vincent +5 · 1 citation
   Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Fault Detection and Control Systems
4. A Framework for Interdomain and Multioutput Gaussian Processes
   2020/03/02 by Mark van der Wilk, van der Wilk, Mark, Vincent Dutordoir +9 · 2 citations
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. GPflux: A Library for Deep Gaussian Processes
   2021/04/12 by Vincent Dutordoir, Hugh Salimbeni, Dutordoir, Vincent +17 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
   2023/02/16 by Victor Picheny, Picheny, Victor, Joel Berkeley +29 · 1 citation
   Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Neural Network Applications #Machine Learning and Data Classification