Alessandro Rinaldo

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Generalized Likelihood Ratio Test

Statistical Inference

Ridge Regression

Top Venues

Publications

Huy Nguyen, Nhat Ho, Alessandro Rinaldo
On Least Squares Estimation in Softmax Gating Mixture of Experts. CoRR (2024)
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory 70 (8) (2024)
Weichen Wu, Jisu Kim, Alessandro Rinaldo
On the estimation of persistence intensity functions and linear representations of persistence diagrams. AISTATS (2024)
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts. CoRR (2024)
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo
Network Online Change Point Localization. SIAM J. Math. Data Sci. 6 (1) (2024)
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR (2023)
Wanshan Li, Daren Wang, Alessandro Rinaldo
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions. ICML (2023)
Yi Yu, Oscar Madrid, Alessandro Rinaldo
Optimal partition recovery in general graphs. AISTATS (2022)
Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. AISTATS (2022)
Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo
Mitigating multiple descents: A model-agnostic framework for risk monotonization. CoRR (2022)
Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression. AISTATS (2022)
Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
-Bounds of the MLE in the BTL Model under General Comparison Graphs. UAI (2022)
Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang, Alessandro Rinaldo
Optimal Nonparametric Multivariate Change Point Detection and Localization. IEEE Trans. Inf. Theory 68 (3) (2022)
Heejong Bong, Alessandro Rinaldo
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model. ICML (2022)
Wanshan Li, Alessandro Rinaldo, Daren Wang
Detecting Abrupt Changes in Sequential Pairwise Comparison Data. NeurIPS (2022)
Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu
Localizing Changes in High-Dimensional Regression Models. AISTATS (2021)
Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
Lattice partition recovery with dyadic CART. CoRR (2021)
Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
Lattice partition recovery with dyadic CART. NeurIPS (2021)
Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. AISTATS (2021)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo
Optimal network online change point localisation. CoRR (2021)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits. SIAM J. Math. Data Sci. 3 (4) (2021)
Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
Nonparametric Estimation in the Dynamic Bradley-Terry Model. AISTATS (2020)
Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG (2020)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On Conditional Versus Marginal Bias in Multi-Armed Bandits. ICML (2020)
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. NeurIPS (2019)
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension. ICML (2019)
Daren Wang, Xinyang Lu, Alessandro Rinaldo
DBSCAN: Optimal Rates For Density-Based Cluster Estimation. J. Mach. Learn. Res. 20 (2019)
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman
Nerve Theorem on a Positive Reach set. CoRR (2019)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On the bias, risk and consistency of sample means in multi-armed bandits. CoRR (2019)
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. CoRR (2019)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
Are sample means in multi-armed bandits positively or negatively biased? NeurIPS (2019)
Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman
Minimax rates for estimating the dimension of a manifold. J. Comput. Geom. 10 (1) (2019)
Kayvan Sadeghi, Alessandro Rinaldo
Markov Properties of Discrete Determinantal Point Processes. AISTATS (2019)
Kwangho Kim, Jisu Kim, Alessandro Rinaldo
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting. CoRR (2018)
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Robust Topological Inference: Distance To a Measure and Kernel Distance. J. Mach. Learn. Res. 18 (2017)
Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. NIPS (2017)
Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman
Minimax Rates for Estimating the Dimension of a Manifold. CoRR (2016)
James Sharpnack, Alessandro Rinaldo, Aarti Singh
Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic. IEEE Trans. Signal Process. 64 (2) (2016)
Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry A. Wasserman
Statistical Inference for Cluster Trees. NIPS (2016)
Nicolas Kim, Dane Wilburne, Sonja Petrovic, Alessandro Rinaldo
On the Geometry and Extremal Properties of the Edge-Degeneracy Model. CoRR (2016)
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. ICML (2015)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. 6 (2) (2015)
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
A conformal prediction approach to explore functional data. Ann. Math. Artif. Intell. 74 (1-2) (2015)
Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Statistical analysis of metric graph reconstruction. J. Mach. Learn. Res. 15 (1) (2014)
Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
β models for random hypergraphs with a given degree sequence. CoRR (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Subsampling Methods for Persistent Homology. CoRR (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
Robust Topological Inference: Distance To a Measure and Kernel Distance. CoRR (2014)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
On the Bootstrap for Persistence Diagrams and Landscapes. CoRR (2013)
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
A Conformal Prediction Approach to Explore Functional Data CoRR (2013)
Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman
Distribution-Free Distribution Regression. AISTATS (2013)
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
Differential privacy for functions and functional data. J. Mach. Learn. Res. 14 (1) (2013)
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
Cluster Trees on Manifolds. NIPS (2013)
Larry A. Wasserman, Mladen Kolar, Alessandro Rinaldo
Estimating Undirected Graphs Under Weak Assumptions. CoRR (2013)
Sivaraman Balakrishnan, Brittany Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
Statistical Inference For Persistent Homology CoRR (2013)
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Changepoint Detection over Graphs with the Spectral Scan Statistic. AISTATS (2013)
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
Cluster Trees on Manifolds. CoRR (2013)
Robert J. Hall, Larry A. Wasserman, Alessandro Rinaldo
Random Differential Privacy. J. Priv. Confidentiality 4 (2) (2013)
Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
Tight Lower Bounds for Homology Inference. CoRR (2013)
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR (2013)
Brian P. Kent, Alessandro Rinaldo, Timothy D. Verstynen
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering. CoRR (2013)
Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
Statistical Analysis of Metric Graph Reconstruction CoRR (2013)
Barnabás Póczos, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
Distribution-Free Distribution Regression CoRR (2013)
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
Differential Privacy for Functions and Functional Data CoRR (2012)
James Sharpnack, Alessandro Rinaldo, Aarti Singh
Changepoint Detection over Graphs with the Spectral Scan Statistic CoRR (2012)
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman
Minimax rates for homology inference. AISTATS (2012)
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications. J. Priv. Confidentiality 4 (1) (2012)
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry A. Wasserman
Stability of density-based clustering. J. Mach. Learn. Res. 13 (2012)
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Sparsistency of the Edge Lasso over Graphs. AISTATS (2012)
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman
Minimax Rates for Homology Inference CoRR (2011)
Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
Maximum Likelihood Estimation in Network Models CoRR (2011)
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
Random Differential Privacy CoRR (2011)
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh
Minimax Localization of Structural Information in Large Noisy Matrices. NIPS (2011)
Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. Privacy in Statistical Databases (2010)
Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo, Seth Sullivant
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models. J. Symb. Comput. 41 (2) (2006)