Daniel Augusto R. M. A. de Souza

According to our database, Daniel Augusto R. M. A. de Souza authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Thin and deep Gaussian processes.

Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César Lincoln C. Mattos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Actually Sparse Variational Gaussian Processes.

Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Self-tuning portfolio-based Bayesian optimization.

Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes

Expert Syst. Appl., 2022

Parallel MCMC Without Embarrassing Failures.

Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Learning GPLVM with arbitrary kernels using the unscented transformation.

Daniel Augusto de Souza, Diego P. P. Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels.

Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes

CoRR, 2019

No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization.

Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019