Rinaldo, Alessandro

32 publications

NeurIPS 2025 On Minimax Estimation of Parameters in SoftMax-Contaminated Mixture of Experts Fanqi Yan, Huy Nguyen, Le Quang Dung, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo

ICML 2024 On Least Square Estimation in SoftMax Gating Mixture of Experts Huy Nguyen, Nhat Ho, Alessandro Rinaldo

AISTATS 2024 On the Estimation of Persistence Intensity Functions and Linear Representations of Persistence Diagrams Weichen Wu, Jisu Kim, Alessandro Rinaldo

NeurIPS 2024 Sigmoid Gating Is More Sample Efficient than SoftMax Gating in Mixture of Experts Huy Nguyen, Nhat Ho, Alessandro Rinaldo

ICML 2023 Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions Wanshan Li, Daren Wang, Alessandro Rinaldo

AISTATS 2022 Denoising and Change Point Localisation in Piecewise-Constant High-Dimensional Regression Coefficients Fan Wang, Oscar Madrid, Yi Yu, Alessandro Rinaldo

AISTATS 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani

AISTATS 2022 Optimal Partition Recovery in General Graphs Yi Yu, Oscar Madrid, Alessandro Rinaldo

UAI 2022 $\ell_∞$-Bounds of the MLE in the BTL Model Under General Comparison Graphs Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo

NeurIPS 2022 Detecting Abrupt Changes in Sequential Pairwise Comparison Data Wanshan Li, Alessandro Rinaldo, Daren Wang

ICML 2022 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model Heejong Bong, Alessandro Rinaldo

AISTATS 2021 Localizing Changes in High-Dimensional Regression Models Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu

AISTATS 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan Tibshirani

NeurIPS 2021 Lattice Partition Recovery with Dyadic CART Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo

AISTATS 2020 Nonparametric Estimation in the Dynamic Bradley-Terry Model Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo

ICML 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo

NeurIPS 2019 Are Sample Means in Multi-Armed Bandits Positively or Negatively Biased? Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo

JMLR 2019 DBSCAN: Optimal Rates for Density-Based Cluster Estimation Daren Wang, Xinyang Lu, Alessandro Rinaldo

AISTATS 2019 Markov Properties of Discrete Determinantal Point Processes Kayvan Sadeghi, Alessandro Rinaldo

NeurIPS 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo

ICML 2019 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry Wasserman

NeurIPS 2017 A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening Kevin Lin, James L Sharpnack, Alessandro Rinaldo, Ryan J Tibshirani

NeurIPS 2016 Statistical Inference for Cluster Trees Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry Wasserman

ICML 2015 Subsampling Methods for Persistent Homology Frederic Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry Wasserman

JMLR 2014 Statistical Analysis of Metric Graph Reconstruction Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman

AISTATS 2013 Changepoint Detection over Graphs with the Spectral Scan Statistic James Sharpnack, Aarti Singh, Alessandro Rinaldo

NeurIPS 2013 Cluster Trees on Manifolds Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry Wasserman

JMLR 2013 Differential Privacy for Functions and Functional Data Rob Hall, Alessandro Rinaldo, Larry Wasserman

AISTATS 2013 Distribution-Free Distribution Regression Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman

AISTATS 2012 Sparsistency of the Edge Lasso over Graphs James Sharpnack, Aarti Singh, Alessandro Rinaldo

JMLR 2012 Stability of Density-Based Clustering Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry Wasserman

NeurIPS 2011 Minimax Localization of Structural Information in Large Noisy Matrices Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh