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Stratis Markou
Stratis Markou
PhD Student in Machine Learning at the University of Cambridge
Zweryfikowany adres z cam.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Fast relative entropy coding with A* coding
G Flamich, S Markou, JM Hernández-Lobato
International Conference on Machine Learning, 2022
142022
Practical Conditional Neural Processes Via Tractable Dependent Predictions
S Markou, J Requeima, W Bruinsma, A Vaughan, RE Turner
International Conference on Learning Representations, 2021
142021
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ...
arXiv preprint arXiv:2302.08436, 2023
8*2023
Efficient Gaussian Neural Processes for Regression
S Markou, J Requeima, W Bruinsma, R Turner
ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning, 2021
82021
Autoregressive Conditional Neural Processes
W Bruinsma, S Markou, J Requeima, AYK Foong, A Vaughan, ...
International Conference on Learning Representations, 2023
52023
Partitioned variational inference: A framework for probabilistic federated learning
M Ashman, TD Bui, CV Nguyen, S Markou, A Weller, S Swaroop, ...
arXiv preprint arXiv:2202.12275, 2022
42022
Notes on the runtime of A* sampling
S Markou
arXiv preprint arXiv:2205.15250, 2022
12022
Faster Relative Entropy Coding with Greedy Rejection Coding
G Flamich, S Markou
Neural Information Processing Systems, 2023
2023
Environmental sensor placement with convolutional Gaussian neural processes
TR Andersson, WP Bruinsma, S Markou, J Requeima, A Coca-Castro, ...
Environmental Data Science 2, e32, 2023
2023
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
TR Andersson, WP Bruinsma, S Markou, DC Jones, JS Hosking, ...
arXiv preprint arXiv:2211.10381, 2022
2022
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