Marco Avella-Medina

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Differential privacy with dependent data.
CoRR
Valentin Roth, Marco Avella-Medina
2025 J jnl
Scalable Differentially Private Bayesian Optimization.
CoRR
Getoar Sopa, Juraj Marusic, Marco Avella-Medina, John P. Cunningham
2024 J jnl
Differential Privacy Under Class Imbalance: Methods and Empirical Insights.
CoRR
Lucas Rosenblatt, Yuliia Lut, Eitan Turok, Marco Avella-Medina, Rachel Cummings
2023 — conf
Asymptotics for power posterior mean estimation.
Allerton
Ruchira Ray, Marco Avella-Medina, Cynthia Rush
2022 J jnl
Kernel PCA for multivariate extremes.
CoRR
Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky
2022 J jnl
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations.
J. Mach. Learn. Res.
Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez
2021 J jnl
Differentially private inference via noisy optimization.
CoRR
Marco Avella-Medina, Casey Bradshaw, Po-Ling Loh
2021 J jnl
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations.
CoRR
Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez
2021 J jnl
Spectral learning of multivariate extremes.
CoRR
Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky
2020 J jnl
Centrality Measures for Graphons: Accounting for Uncertainty in Networks.
IEEE Trans. Netw. Sci. Eng.
Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra
2020 J jnl
Propose, Test, Release: Differentially private estimation with high probability.
CoRR
Victor-Emmanuel Brunel, Marco Avella-Medina
2019 J jnl
Privacy-preserving parametric inference: a case for robust statistics.
CoRR
Marco Avella-Medina
2017 J jnl
Centrality measures for graphons.
CoRR
Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra