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ORCIDDaniel Augusto R. M. A. de Souza
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2020 – today
- 2024
[i6]Tiago da Silva, Daniel Augusto de Souza, Diego Mesquita:
Streaming Bayes GFlowNets. CoRR abs/2411.05899 (2024)- 2023
- [c5]Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth:
Actually Sparse Variational Gaussian Processes. AISTATS 2023: 10395-10408 - [c4]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:
Thin and deep Gaussian processes. NeurIPS 2023 - [i5]Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth:
Actually Sparse Variational Gaussian Processes. CoRR abs/2304.05091 (2023) - [i4]Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos:
Thin and Deep Gaussian Processes. CoRR abs/2310.11527 (2023) - 2022
- [j1]Thiago de P. Vasconcelos
, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes:
Self-tuning portfolio-based Bayesian optimization. Expert Syst. Appl. 188: 115847 (2022) - [c3]Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi:
Parallel MCMC Without Embarrassing Failures. AISTATS 2022: 1786-1804 - [i3]Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi:
Parallel MCMC Without Embarrassing Failures. CoRR abs/2202.11154 (2022) - 2021
- [c2]Daniel Augusto de Souza, Diego P. P. Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos:
Learning GPLVM with arbitrary kernels using the unscented transformation. AISTATS 2021: 451-459
2010 – 2019
- 2019
- [c1]Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes:
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. ICTAI 2019: 561-568 - [i2]Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes:
Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels. CoRR abs/1907.01867 (2019) - [i1]Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes:
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. CoRR abs/1908.00361 (2019)
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