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papers

Publications (49)

stat.OT2013

Maximum lilkelihood estimation in the $Î²$-model

Alessandro Rinaldo, Sonja PetroviÄ, Stephen E. Fienberg

stat.ME2013

Mapping Topographic Structure in White Matter Pathways with Level Set Trees

Brian P. Kent, Alessandro Rinaldo, Fang-Cheng Yeh +1

math.ST2018

On Exchangeability in Network Models

Steffen L. Lauritzen, Alessandro Rinaldo, Kayvan Sadeghi

stat.ME2013

DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering

Brian P. Kent, Alessandro Rinaldo, Timothy Verstynen

stat.ML2012

Differential Privacy for Functions and Functional Data

Rob Hall, Alessandro Rinaldo, Larry Wasserman

stat.ML2019

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection

Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo

math.AT2014

Subsampling Methods for Persistent Homology

FrÃ©dÃ©ric Chazal, Brittany Terese Fasy, Fabrizio Lecci +3

stat.ML2013

Distribution-Free Distribution Regression

Barnabas Poczos, Alessandro Rinaldo, Aarti Singh +1

math.ST2008

Autoregressive Process Modeling via the Lasso Procedure

Yuval Nardi, Alessandro Rinaldo

stat.ME2019

Optimal nonparametric change point detection and localization

Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang +1

math.ST2012

The log-linear group-lasso estimator and its asymptotic properties

Yuval Nardi, Alessandro Rinaldo

math.ST2012

Maximum likelihood estimation in log-linear models

Stephen E. Fienberg, Alessandro Rinaldo

math.ST2016

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

Nicolas Kim, Dane Wilburne, Sonja PetroviÄ +1

stat.ML2013

A Conformal Prediction Approach to Explore Functional Data

Jing Lei, Alessandro Rinaldo, Larry Wasserman

math.ST2012

Changepoint Detection over Graphs with the Spectral Scan Statistic

James Sharpnack, Alessandro Rinaldo, Aarti Singh

math.ST2016

Asymptotic quantization of exponential random graphs

Mei Yin, Alessandro Rinaldo, Sukhada Fadnavis

stat.ML2011

Minimax Rates for Homology Inference

Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy +2

math.ST2010

Generalized density clustering

Alessandro Rinaldo, Larry Wasserman

math.CO2004

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

Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo +1

math.ST2014

Consistency of spectral clustering in stochastic block models

Jing Lei, Alessandro Rinaldo

cs.CG2019

Time Series Featurization via Topological Data Analysis

Kwangho Kim, Jisu Kim, Alessandro Rinaldo

stat.ME2017

Distribution-Free Predictive Inference For Regression

Jing Lei, Max G'Sell, Alessandro Rinaldo +2

math.ST2018

Optimal Covariance Change Point Localization in High Dimension

Daren Wang, Yi Yu, Alessandro Rinaldo

stat.ML2013

Cluster Trees on Manifolds

Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo +2

stat.ML2013

Recovering Block-structured Activations Using Compressive Measurements

Sivaraman Balakrishnan, Mladen Kolar, Alessandro Rinaldo +1

math.ST2017

Random Networks, Graphical Models, and Exchangeability

Steffen Lauritzen, Alessandro Rinaldo, Kayvan Sadeghi

math.ST2017

Uniform Asymptotic Inference and the Bootstrap After Model Selection

Ryan J. Tibshirani, Alessandro Rinaldo, Robert Tibshirani +1

math.ST2013

Stochastic Convergence of Persistence Landscapes and Silhouettes

FrÃ©dÃ©ric Chazal, Brittany Terese Fasy, Fabrizio Lecci +2

stat.ML2010

Stability of Density-Based Clustering

Alessandro Rinaldo, Aarti Singh, Rebecca Nugent +1

math.ST2014

Detecting Anomalous Activity on Networks with the Graph Fourier Scan Statistic

James Sharpnack, Alessandro Rinaldo, Aarti Singh

stat.ME2011

Random Differential Privacy

Rob Hall, Alessandro Rinaldo, Larry Wasserman

stat.ME2015

Statistical Analysis of Persistence Intensity Functions

Yen-Chi Chen, Daren Wang, Alessandro Rinaldo +1

math.ST2019

Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality

Daren Wang, Yi Yu, Alessandro Rinaldo

stat.ME2016

Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates

Kevin Lin, James Sharpnack, Alessandro Rinaldo +1

math.ST2014

Confidence sets for persistence diagrams

Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo +3

stat.ML2008

On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models

Stephen E. Fienberg, Alessandro Rinaldo, Yi Zhou

math.ST2019

Estimating the Reach of a Manifold

math.ST2014

Statistical Models for Degree Distributions of Networks

Kayvan Sadeghi, Alessandro Rinaldo

math.ST2009

Properties and refinements of the fused lasso

Alessandro Rinaldo

math.ST2017

Statistical Inference for Cluster Trees

Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan +2

stat.ML2013

Tight Lower Bounds for Homology Inference

Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh +1

math.ST2018

Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference

Alessandro Rinaldo, Larry Wasserman, Max G'Sell +1

math.ST2010

Algebraic statistics for a directed random graph model with reciprocation

Sonja PetroviÄ, Alessandro Rinaldo, Stephen E. Fienberg

math.AT2014

On the Bootstrap for Persistence Diagrams and Landscapes

math.ST2019

Markov Properties of Discrete Determinantal Point Processes

Kayvan Sadeghi, Alessandro Rinaldo

math.ST2014

$Î²$ models for random hypergraphs with a given degree sequence

Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo +2

math.ST2014

Statistical Analysis of Metric Graph Reconstruction

Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman

math.ST2013

Estimating Undirected Graphs Under Weak Assumptions

Larry Wasserman, Mladen Kolar, Alessandro Rinaldo

math.ST2014

Publications (49)

Maximum lilkelihood estimation in the $Î²$-model

Mapping Topographic Structure in White Matter Pathways with Level Set Trees

On Exchangeability in Network Models

DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering

Differential Privacy for Functions and Functional Data

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection

Subsampling Methods for Persistent Homology

Distribution-Free Distribution Regression

Autoregressive Process Modeling via the Lasso Procedure

Optimal nonparametric change point detection and localization

The log-linear group-lasso estimator and its asymptotic properties

Maximum likelihood estimation in log-linear models

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

A Conformal Prediction Approach to Explore Functional Data

Changepoint Detection over Graphs with the Spectral Scan Statistic

Asymptotic quantization of exponential random graphs

Minimax Rates for Homology Inference

Generalized density clustering

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

Consistency of spectral clustering in stochastic block models

Time Series Featurization via Topological Data Analysis

Distribution-Free Predictive Inference For Regression

Optimal Covariance Change Point Localization in High Dimension

Cluster Trees on Manifolds

Recovering Block-structured Activations Using Compressive Measurements

Random Networks, Graphical Models, and Exchangeability

Uniform Asymptotic Inference and the Bootstrap After Model Selection

Stochastic Convergence of Persistence Landscapes and Silhouettes

Stability of Density-Based Clustering

Detecting Anomalous Activity on Networks with the Graph Fourier Scan Statistic

Random Differential Privacy

Statistical Analysis of Persistence Intensity Functions

Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality

Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates

Confidence sets for persistence diagrams

On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models

Estimating the Reach of a Manifold

Statistical Models for Degree Distributions of Networks

Properties and refinements of the fused lasso

Statistical Inference for Cluster Trees

Tight Lower Bounds for Homology Inference

Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference

Algebraic statistics for a directed random graph model with reciprocation

On the Bootstrap for Persistence Diagrams and Landscapes

Markov Properties of Discrete Determinantal Point Processes

$Î²$ models for random hypergraphs with a given degree sequence

Statistical Analysis of Metric Graph Reconstruction

Estimating Undirected Graphs Under Weak Assumptions

Robust Topological Inference: Distance To a Measure and Kernel Distance