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Journal Articles
- 2024
[j3]Marco Avella Medina, Richard A. Davis, Gennady Samorodnitsky:
Spectral learning of multivariate extremes. J. Mach. Learn. Res. 25: 124:1-124:36 (2024)- 2022
- [j2]Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez:
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations. J. Mach. Learn. Res. 23: 147:1-147:51 (2022) - 2020
- [j1]Marco Avella-Medina
, Francesca Parise, Michael T. Schaub, Santiago Segarra:
Centrality Measures for Graphons: Accounting for Uncertainty in Networks. IEEE Trans. Netw. Sci. Eng. 7(1): 520-537 (2020)
Conference and Workshop Papers
- 2024
- [c2]Tingting Ou, Rachel Cummings, Marco Avella Medina:
Thompson Sampling Itself is Differentially Private. AISTATS 2024: 1576-1584 - 2023
- [c1]Ruchira Ray, Marco Avella-Medina, Cynthia Rush:
Asymptotics for power posterior mean estimation. Allerton 2023: 1-8
Informal and Other Publications
- 2025
- [i10]Getoar Sopa, Juraj Marusic, Marco Avella-Medina, John P. Cunningham:
Scalable Differentially Private Bayesian Optimization. CoRR abs/2502.06044 (2025) - 2024
- [i9]Tingting Ou, Marco Avella Medina, Rachel Cummings:
Thompson Sampling Itself is Differentially Private. CoRR abs/2407.14879 (2024) - [i8]Lucas Rosenblatt, Yuliia Lut, Eitan Turok, Marco Avella-Medina, Rachel Cummings:
Differential Privacy Under Class Imbalance: Methods and Empirical Insights. CoRR abs/2411.05733 (2024) - 2022
- [i7]Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky:
Kernel PCA for multivariate extremes. CoRR abs/2211.13172 (2022) - 2021
- [i6]Marco Avella-Medina, Casey Bradshaw, Po-Ling Loh:
Differentially private inference via noisy optimization. CoRR abs/2103.11003 (2021) - [i5]Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez:
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations. CoRR abs/2104.08324 (2021) - [i4]Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky:
Spectral learning of multivariate extremes. CoRR abs/2111.07799 (2021) - 2020
- [i3]Victor-Emmanuel Brunel, Marco Avella-Medina:
Propose, Test, Release: Differentially private estimation with high probability. CoRR abs/2002.08774 (2020) - 2019
- [i2]Marco Avella-Medina:
Privacy-preserving parametric inference: a case for robust statistics. CoRR abs/1911.10167 (2019) - 2017
- [i1]Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra:
Centrality measures for graphons. CoRR abs/1707.09350 (2017)
Coauthor Index
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