 Scalable Out-of-distribution Robustness in the Presence of Unobserved ConfoundersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Hybrid model of the kernel method for quantum computersRevista Brasileira de Física Tecnológica Aplicada (RBFTA), 2022 Jhordan Silveira de Borba Jonas Maziero |
 The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels
MethodsInternational Conference on Learning Representations (ICLR), 2021 |
 Scalable Kernel Learning via the Discriminant InformationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
 Physics-Informed Machine Learning Models for Predicting the Progress of
Reactive-MixingComputer Methods in Applied Mechanics and Engineering (CMAME), 2019 |
 Meta-descent for Online, Continual PredictionAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix
Decompositions for PreconditioningSIAM Journal on Matrix Analysis and Applications (SIMAX), 2019 |
 An Parallel Fast Direct Solver for Kernel MatricesIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017 |
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 Quasi-Monte Carlo Feature Maps for Shift-Invariant KernelsJournal of machine learning research (JMLR), 2014 |
 In Search of the Real Inductive Bias: On the Role of Implicit
Regularization in Deep LearningInternational Conference on Learning Representations (ICLR), 2014 |
 A la Carte - Learning Fast KernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2014 |
