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Alessandro Rinaldo

According to our database¹, Alessandro Rinaldo authored at least 56 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

On Least Squares Estimation in Softmax Gating Mixture of Experts.

[BibT_eX]

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Alessandro Rinaldo

CoRR, 2024

2023

Sharp high-probability sample complexities for policy evaluation with linear function approximation.

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Alessandro Rinaldo

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CoRR, 2023

Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimal Nonparametric Multivariate Change Point Detection and Localization.

[BibT_eX]

[DOI]

Oscar Hernan Madrid Padilla

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Alessandro Rinaldo

IEEE Trans. Inf. Theory, 2022

Mitigating multiple descents: A model-agnostic framework for risk monotonization.

[BibT_eX]

[DOI]

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Arun Kumar Kuchibhotla

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Alessandro Rinaldo

CoRR, 2022

ℓ<sub>∞</sub>-Bounds of the MLE in the BTL Model under General Comparison Graphs.

[BibT_eX]

[DOI]

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Shamindra Shrotriya

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Alessandro Rinaldo

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Detecting Abrupt Changes in Sequential Pairwise Comparison Data.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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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.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

Proceedings of the International Conference on Machine Learning, 2022

Optimal partition recovery in general graphs.

[BibT_eX]

[DOI]

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Oscar Hernan Madrid Padilla

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Alessandro Rinaldo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients.

[BibT_eX]

[DOI]

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Oscar Hernan Madrid Padilla

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Alessandro Rinaldo

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.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Ryan J. Tibshirani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

SIAM J. Math. Data Sci., 2021

Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test.

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Alessandro Rinaldo

IEEE J. Sel. Areas Inf. Theory, 2021

Optimal network online change point localisation.

[BibT_eX]

[DOI]

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Oscar Hernan Madrid Padilla

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Alessandro Rinaldo

CoRR, 2021

Lattice partition recovery with dyadic CART.

[BibT_eX]

[DOI]

Oscar Hernan Madrid Padilla

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Alessandro Rinaldo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Localizing Changes in High-Dimensional Regression Models.

[BibT_eX]

[DOI]

Alessandro Rinaldo

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Rebecca Willett

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Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Ryan J. Tibshirani

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

On Conditional Versus Marginal Bias in Multi-Armed Bandits.

[BibT_eX]

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Alessandro Rinaldo

Proceedings of the 37th International Conference on Machine Learning, 2020

Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex.

[BibT_eX]

[DOI]

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Frédéric Chazal

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Alessandro Rinaldo

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Larry A. Wasserman

Proceedings of the 36th International Symposium on Computational Geometry, 2020

Nonparametric Estimation in the Dynamic Bradley-Terry Model.

[BibT_eX]

[DOI]

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Shamindra Shrotriya

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Alessandro Rinaldo

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Minimax rates for estimating the dimension of a manifold.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

J. Comput. Geom., 2019

DBSCAN: Optimal Rates For Density-Based Cluster Estimation.

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[DOI]

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Alessandro Rinaldo

J. Mach. Learn. Res., 2019

Nerve Theorem on a Positive Reach set.

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[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

CoRR, 2019

Are sample means in multi-armed bandits positively or negatively biased?

[BibT_eX]

[DOI]

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Alessandro Rinaldo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

Proceedings of the 36th International Conference on Machine Learning, 2019

Markov Properties of Discrete Determinantal Point Processes.

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[DOI]

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Alessandro Rinaldo

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.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

CoRR, 2018

2017

Robust Topological Inference: Distance To a Measure and Kernel Distance.

[BibT_eX]

[DOI]

Frédéric Chazal

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Bertrand Michel

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Alessandro Rinaldo

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Larry A. Wasserman

J. Mach. Learn. Res., 2017

A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.

[BibT_eX]

[DOI]

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James Sharpnack

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Alessandro Rinaldo

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Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic.

[BibT_eX]

[DOI]

James Sharpnack

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Alessandro Rinaldo

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IEEE Trans. Signal Process., 2016

On the Geometry and Extremal Properties of the Edge-Degeneracy Model.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

CoRR, 2016

Statistical Inference for Cluster Trees.

[BibT_eX]

[DOI]

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Sivaraman Balakrishnan

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Alessandro Rinaldo

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Larry A. Wasserman

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Stochastic convergence of persistence landscapes and silhouettes.

[BibT_eX]

[DOI]

Frédéric Chazal

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Brittany Terese Fasy

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Alessandro Rinaldo

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Larry A. Wasserman

J. Comput. Geom., 2015

A conformal prediction approach to explore functional data.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

Ann. Math. Artif. Intell., 2015

Subsampling Methods for Persistent Homology.

[BibT_eX]

[DOI]

Frédéric Chazal

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Bertrand Michel

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Alessandro Rinaldo

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Larry A. Wasserman

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Statistical analysis of metric graph reconstruction.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

J. Mach. Learn. Res., 2014

β models for random hypergraphs with a given degree sequence.

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Alessandro Rinaldo

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Stephen E. Fienberg

CoRR, 2014

2013

Random Differential Privacy.

[BibT_eX]

[DOI]

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Larry A. Wasserman

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Alessandro Rinaldo

J. Priv. Confidentiality, 2013

Differential privacy for functions and functional data.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Larry A. Wasserman

J. Mach. Learn. Res., 2013

Statistical Inference For Persistent Homology

[BibT_eX]

[DOI]

Sivaraman Balakrishnan

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Alessandro Rinaldo

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Larry A. Wasserman

CoRR, 2013

Estimating Undirected Graphs Under Weak Assumptions.

[BibT_eX]

[DOI]

Larry A. Wasserman

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Alessandro Rinaldo

CoRR, 2013

DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering.

[BibT_eX]

[DOI]

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Alessandro Rinaldo

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Timothy D. Verstynen

CoRR, 2013

On the Bootstrap for Persistence Diagrams and Landscapes.

[BibT_eX]

[DOI]

Frédéric Chazal

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Brittany Terese Fasy

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Alessandro Rinaldo

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Larry A. Wasserman

CoRR, 2013

Tight Lower Bounds for Homology Inference.

[BibT_eX]

[DOI]

Sivaraman Balakrishnan

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Alessandro Rinaldo

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Larry A. Wasserman

CoRR, 2013

Cluster Trees on Manifolds.

[BibT_eX]

[DOI]

Sivaraman Balakrishnan

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Srivatsan Narayanan

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Alessandro Rinaldo

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Larry A. Wasserman

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

Changepoint Detection over Graphs with the Spectral Scan Statistic.

[BibT_eX]

[DOI]

James Sharpnack

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Alessandro Rinaldo

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distribution-Free Distribution Regression.

[BibT_eX]

[DOI]

Barnabás Póczos

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Alessandro Rinaldo

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Larry A. Wasserman

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.

[BibT_eX]

[DOI]

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Stephen E. Fienberg

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Alessandro Rinaldo

J. Priv. Confidentiality, 2012

Sparsistency of the Edge Lasso over Graphs.

[BibT_eX]

[DOI]

James Sharpnack

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Alessandro Rinaldo

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Stability of density-based clustering.

[BibT_eX]

[DOI]

Alessandro Rinaldo

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Larry A. Wasserman

J. Mach. Learn. Res., 2012

Minimax rates for homology inference.

[BibT_eX]

[DOI]

Sivaraman Balakrishnan

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Alessandro Rinaldo

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,

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Larry A. Wasserman

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Maximum Likelihood Estimation in Network Models

[BibT_eX]

[DOI]

Alessandro Rinaldo

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Stephen E. Fienberg

CoRR, 2011

Minimax Localization of Structural Information in Large Noisy Matrices.

[BibT_eX]

[DOI]

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Sivaraman Balakrishnan

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Alessandro Rinaldo

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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.

[BibT_eX]

[DOI]

Stephen E. Fienberg

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Alessandro Rinaldo

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Proceedings of the Privacy in Statistical Databases, 2010

2006

Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models.

[BibT_eX]

[DOI]

Nicholas Eriksson

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Stephen E. Fienberg

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Alessandro Rinaldo

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J. Symb. Comput., 2006

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