Alessandro Rinaldo

Alessandro Rinaldo

Carnegie Mellon University

H-index: 40

North America-United States

About Alessandro Rinaldo

Alessandro Rinaldo, With an exceptional h-index of 40 and a recent h-index of 35 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Statistics and Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

High-probability sample complexities for policy evaluation with linear function approximation

On the estimation of persistence intensity functions and linear representations of persistence diagrams

Network Online Change Point Localization

On Least Squares Estimation in Softmax Gating Mixture of Experts

A sequential test for log-concavity

Inference for Projection Parameters in Linear Regression: beyond

Divide and conquer dynamic programming: an almost linear time change point detection methodology in high dimensions

Multilayer random dot product graphs: Estimation and online change point detection

Alessandro Rinaldo Information

University

Position

___

Citations(all)

7024

Citations(since 2020)

4462

Cited By

4326

hIndex(all)

40

hIndex(since 2020)

35

i10Index(all)

82

i10Index(since 2020)

70

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Alessandro Rinaldo Skills & Research Interests

Statistics and Data Science

Top articles of Alessandro Rinaldo

Title

Journal

Author(s)

Publication Date

High-probability sample complexities for policy evaluation with linear function approximation

IEEE Transactions on Information Theory

Gen Li

Weichen Wu

Yuejie Chi

Cong Ma

Alessandro Rinaldo

...

2024/4/29

On the estimation of persistence intensity functions and linear representations of persistence diagrams

Weichen Wu

Jisu Kim

Alessandro Rinaldo

2024/4/18

Network Online Change Point Localization

SIAM Journal on Mathematics of Data Science

Yi Yu

Oscar H Madrid Padilla

Daren Wang

Alessandro Rinaldo

2024/3/31

On Least Squares Estimation in Softmax Gating Mixture of Experts

arXiv preprint arXiv:2402.02952

Huy Nguyen

Nhat Ho

Alessandro Rinaldo

2024/2/5

A sequential test for log-concavity

arXiv preprint arXiv:2301.03542

Aditya Gangrade

Alessandro Rinaldo

Aaditya Ramdas

2023/1/9

Inference for Projection Parameters in Linear Regression: beyond

arXiv preprint arXiv:2307.00795

Woonyoung Chang

Arun Kumar Kuchibhotla

Alessandro Rinaldo

2023/7/3

Divide and conquer dynamic programming: an almost linear time change point detection methodology in high dimensions

Wanshan Li

Daren Wang

Alessandro Rinaldo

2023/7/3

Multilayer random dot product graphs: Estimation and online change point detection

arXiv preprint arXiv:2306.15286

Fan Wang

Wanshan Li

Oscar Hernan Madrid Padilla

Yi Yu

Alessandro Rinaldo

2023/6/27

Dual Induction CLT for High-dimensional m-dependent Data

arXiv preprint arXiv:2306.14299

Heejong Bong

Arun Kumar Kuchibhotla

Alessandro Rinaldo

2023/6/25

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

arXiv preprint arXiv:2305.19001

Gen Li

Weichen Wu

Yuejie Chi

Cong Ma

Alessandro Rinaldo

...

2023/5/30

A note on online change point detection

Sequential Analysis

Yi Yu

Oscar Hernan Madrid Padilla

Daren Wang

Alessandro Rinaldo

2023/10/2

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

arXiv preprint arXiv:2205.12937

Pratik Patil

Arun Kumar Kuchibhotla

Yuting Wei

Alessandro Rinaldo

2022/5/25

High-dimensional Berry-Esseen Bound for -Dependent Random Samples

arXiv preprint arXiv:2212.05355

Heejong Bong

Arun Kumar Kuchibhotla

Alessandro Rinaldo

2022/12/10

Estimating functionals of the out-of-sample error distribution in high-dimensional ridge regression

Pratik Patil

Alessandro Rinaldo

Ryan Tibshirani

2022/5/3

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

Fan Wang

Oscar Madrid

Yi Yu

Alessandro Rinaldo

2022/5/3

Detecting abrupt changes in sequential pairwise comparison data

Advances in Neural Information Processing Systems

Wanshan Li

Alessandro Rinaldo

Daren Wang

2022/12/6

-Bounds of the MLE in the BTL Model under General Comparison Graphs

Wanshan Li

Shamindra Shrotriya

Alessandro Rinaldo

2022/8/17

Optimal partition recovery in general graphs

Yi Yu

Oscar Madrid

Alessandro Rinaldo

2022/5/3

Generalized results for the existence and consistency of the MLE in the Bradley-Terry-Luce model

Heejong Bong

Alessandro Rinaldo

2022/6/28

E-detectors: a nonparametric framework for sequential change detection

arXiv preprint arXiv:2203.03532

Jaehyeok Shin

Aaditya Ramdas

Alessandro Rinaldo

2022/3/7

See List of Professors in Alessandro Rinaldo University(Carnegie Mellon University)

Co-Authors

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 47
Ryan Tibshirani

Ryan Tibshirani

Carnegie Mellon University

H-index: 39
Aaditya Ramdas

Aaditya Ramdas

Carnegie Mellon University

H-index: 33
Sivaraman Balakrishnan

Sivaraman Balakrishnan

Carnegie Mellon University

H-index: 32
Jing Lei

Jing Lei

Carnegie Mellon University

H-index: 27
Mladen Kolar

Mladen Kolar

University of Chicago

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