Alessandro Rinaldo
According to our database1,
Alessandro Rinaldo
authored at least 63 papers
between 2006 and 2024.
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Bibliography
2024
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation.
IEEE Trans. Inf. Theory, August, 2024
Statistical Inference for Temporal Difference Learning with Linear Function Approximation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Sharp high-probability sample complexities for policy evaluation with linear function approximation.
CoRR, 2023
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions.
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Inf. Theory, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
SIAM J. Math. Data Sci., 2021
Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test.
IEEE J. Sel. Areas Inf. Theory, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 36th International Symposium on Computational Geometry, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
J. Mach. Learn. Res., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting.
CoRR, 2018
2017
J. Mach. Learn. Res., 2017
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
IEEE Trans. Signal Process., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
J. Comput. Geom., 2015
Ann. Math. Artif. Intell., 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications.
J. Priv. Confidentiality, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables.
Proceedings of the Privacy in Statistical Databases, 2010
2006
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models.
J. Symb. Comput., 2006