Roberto I. Oliveira

Instituto Nacional de Matemática Pura e Aplicada — Brazil

Mathematics · Physical Sciences

23h-index2.1kcitations108works0.52yr avg
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Research Topics

Stochastic processes and statistical mechanics(29), Statistical Methods and Inference(17), Markov Chains and Monte Carlo Methods(17), Sparse and Compressive Sensing Techniques(11), Quantum Computing Algorithms and Architecture(11)

Publications108 total

Large Deviations for Marked Sparse Random Graphs with Applications to Interacting Diffusions
Journal of Statistical Physics·2026Open Access
Trimmed sample means for robust uniform mean estimation and regression
The Annals of Statistics·2025· 1 citedOpen Access
Robust, sub-Gaussian mean estimators in metric spaces
arXiv (Cornell University)·2025Open Access
On the Quality of Randomized Approximations of Tukey’s Depth
SIAM Journal on Mathematics of Data Science·2025Open Access
Classificador baseado em comitê de máquinas de vetores de suporte aplicado a imagens de câncer de mama
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics·2025Open Access
Finite-sample properties of the trimmed mean
arXiv (Cornell University)·2025Open Access
Desenvolvimento de canais de resfriamento personalizados para moldes usando simulações numéricas e manufatura aditiva
2025
The contact process over a dynamical d-regular graph
Annales de l Institut Henri Poincaré Probabilités et Statistiques·2024· 1 citedOpen Access
Improved covariance estimation: Optimal robustness and sub-Gaussian guarantees under heavy tails
The Annals of Statistics·2024· 4 cited
381 (PB369): Adaptive Mechanisms and Synergistic Combinations to Overcome Sotorasib Resistance in KRASG12C-Driven NSCLC
European Journal of Cancer·2024
Geometric planted matchings beyond the Gaussian model
arXiv (Cornell University)·2024Open Access
The top eigenvalue of uniformly random trees
arXiv (Cornell University)·2024Open Access
Subtractive random forests
Latin American Journal of Probability and Mathematical Statistics·2024Open Access
Deep Hashing via Householder Quantization
arXiv (Cornell University)·2023· 1 citedOpen Access
OP06.03: Machine learning for amniotic fluid volume prediction
Ultrasound in Obstetrics and Gynecology·2023Open Access
On the quality of randomized approximations of Tukey's depth
arXiv (Cornell University)·2023Open Access
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 8 citedOpen Access
Sample average approximation with heavier tails II: localization in stochastic convex optimization and persistence results for the Lasso
Mathematical Programming·2023· 6 citedOpen Access
Subtractive random forests
arXiv (Cornell University)·2022Open Access
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails
arXiv (Cornell University)·2022· 2 citedOpen Access
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Frequent Co-authors

Barbara M. Terhal(7), Philip Thompson(5), Yevgeniy Dodis(4), Yuval Peres(4), Alfredo N. Iusem(3), Sergey Bravyi(3), David P. DiVincenzo(3), Oscar Dahlsten(2), Martin B. Plenio(2), Ariel Elbaz(2), Ran Raz(2), Alejandro Jofré(2), Joel Spencer(2), Matthieu Lerasle(2), Mei Song(2), Theodor Misiakiewicz(2), Andrea Montanari(2), Gábor Lugosi(2), Anna Ben-Hamou(2), Rodrigo Ribeiro(2)