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ORCIDAmedeo Roberto Esposito
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2020 – today
- 2024
[j2]Amedeo Roberto Esposito
, Marco Mondelli:
Concentration Without Independence via Information Measures. IEEE Trans. Inf. Theory 70(6): 3823-3839 (2024)- [c13]Amedeo Roberto Esposito, Marco Mondelli:
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract). COLT 2024: 1643-1645 - [c12]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Variational Characterizations of Sibson's α-Mutual Information. ISIT 2024: 2110-2115 - [c11]Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar:
Properties of the Strong Data Processing Constant for Rényi Divergence. ISIT 2024: 3178-3183 - [i14]Amedeo Roberto Esposito, Marco Mondelli:
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo. CoRR abs/2402.11200 (2024) - [i13]Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar:
Properties of the Strong Data Processing Constant for Rényi Divergence. CoRR abs/2403.10656 (2024) - [i12]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Sibson's α-Mutual Information and its Variational Representations. CoRR abs/2405.08352 (2024) - 2023
- [c10]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. COLT 2023: 4952-4976 - [c9]Amedeo Roberto Esposito, Marco Mondelli:
Concentration without Independence via Information Measures. ISIT 2023: 400-405 - [i11]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR abs/2302.14518 (2023) - [i10]Amedeo Roberto Esposito, Marco Mondelli:
Concentration without Independence via Information Measures. CoRR abs/2303.07245 (2023) - [i9]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
Lower Bounds on the Bayesian Risk via Information Measures. CoRR abs/2303.12497 (2023) - 2022
- [b1]Amedeo Roberto Esposito:
A Functional Perspective on Information Measures. EPFL, Switzerland, 2022 - [c8]Amedeo Roberto Esposito, Michael Gastpar:
From Generalisation Error to Transportation-cost Inequalities and Back. ISIT 2022: 294-299 - [c7]Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. ISIT 2022: 1106-1111 - [c6]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
On Sibson's α-Mutual Information. ISIT 2022: 2904-2909 - [i8]Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. CoRR abs/2202.02557 (2022) - [i7]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
On Sibson's α-Mutual Information. CoRR abs/2202.03951 (2022) - [i6]Amedeo Roberto Esposito, Michael Gastpar:
From Generalisation Error to Transportation-cost Inequalities and Back. CoRR abs/2202.03956 (2022) - 2021
- [j1]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage. IEEE Trans. Inf. Theory 67(8): 4986-5004 (2021) - [c5]Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information. ISIT 2021: 748-753 - [c4]Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's $\alpha$ -Mutual Information. ISIT 2021: 1796-1801 - [i5]Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's α-Mutual Information. CoRR abs/2102.00720 (2021) - 2020
- [c3]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Robust Generalization via f-Mutual Information. ISIT 2020: 2723-2728 - [i4]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Robust Generalization via $α$-Mutual Information. CoRR abs/2001.06399 (2020)
2010 – 2019
- 2019
- [c2]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Strengthened Information-theoretic Bounds on the Generalization Error. ISIT 2019: 582-586 - [c1]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Learning and Adaptive Data Analysis via Maximal Leakage. ITW 2019: 1-5 - [i3]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. CoRR abs/1903.01777 (2019) - [i2]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Strengthened Information-theoretic Bounds on the Generalization Error. CoRR abs/1903.03787 (2019) - [i1]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. CoRR abs/1912.01439 (2019)
Coauthor Index
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