| No-PASt-BO: Normalized portfolio allocation strategy for Bayesian optimization TP Vasconcelos, DA de Souza, CLC Mattos, JPP Gomes 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 16 | 2019 |
| Parallel MCMC without embarrassing failures DA De Souza, D Mesquita, S Kaski, L Acerbi International Conference on Artificial Intelligence and Statistics, 1786-1804, 2022 | 12 | 2022 |
| Actually sparse variational Gaussian processes HJ Cunningham, DA de Souza, S Takao, M van der Wilk, MP Deisenroth International Conference on Artificial Intelligence and Statistics, 10395-10408, 2023 | 9 | 2023 |
| Self-tuning portfolio-based Bayesian optimization TP Vasconcelos, DARMA de Souza, GCM Virgolino, CLC Mattos, ... Expert Systems with Applications 188, 115847, 2022 | 9 | 2022 |
| Learning GPLVM with arbitrary kernels using the unscented transformation D de Souza, D Mesquita, JP Gomes, CL Mattos International Conference on Artificial Intelligence and Statistics, 451-459, 2021 | 3 | 2021 |
| Thin and deep Gaussian processes DA de Souza, A Nikitin, ST John, M Ross, MA Álvarez, M Deisenroth, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Streaming Bayes GFlowNets T da Silva, DA de Souza, D Mesquita arXiv preprint arXiv:2411.05899, 2024 | | 2024 |
| Contributions on latent projections for Gaussian process modeling DARMA Souza | | 2020 |
| Streaming Bayes GFlowNets T Silva, DA de Souza, D Mesquita The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| Variational Inference with Censored Gaussian Process Regressors A Karlova, R Kabra, DA de Souza, B Paige ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0 | | |
| Deep Mahalanobis Gaussian Process DA de Souza, D Mesquita, CL Mattos, JP Gomes | | |
João Paulo Pordeus GomesFederal University of CearaDirección de correo verificada de dc.ufc.br