| 2024 | AISTATS | On the estimation of persistence intensity functions and linear representations of persistence diagrams. | Weichen Wu, Jisu Kim, Alessandro Rinaldo |
| 2024 | ICML | On Least Square Estimation in Softmax Gating Mixture of Experts. | Huy Nguyen, Nhat Ho, Alessandro Rinaldo |
| 2023 | ICML | Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions. | Wanshan Li, Daren Wang, Alessandro Rinaldo |
| 2022 | AISTATS | Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression. | Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani |
| 2022 | AISTATS | Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. | Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo |
| 2022 | AISTATS | Optimal partition recovery in general graphs. | Yi Yu, Oscar Hernan Madrid Padilla, Alessandro Rinaldo |
| 2022 | ICML | Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model. | Heejong Bong, Alessandro Rinaldo |
| 2022 | UAI | ℓ | Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo |
| 2021 | AISTATS | Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. | Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani |
| 2021 | AISTATS | Localizing Changes in High-Dimensional Regression Models. | Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu |
| 2020 | AISTATS | Nonparametric Estimation in the Dynamic Bradley-Terry Model. | Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo |
| 2020 | ICML | On Conditional Versus Marginal Bias in Multi-Armed Bandits. | Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo |
| 2019 | AISTATS | Markov Properties of Discrete Determinantal Point Processes. | Kayvan Sadeghi, Alessandro Rinaldo |
| 2019 | ICML | Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension. | Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman |
| 2015 | ICML | Subsampling Methods for Persistent Homology. | Frdric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman |
| 2013 | AISTATS | Distribution-Free Distribution Regression. | Barnabs Pczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman |
| 2013 | AISTATS | Changepoint Detection over Graphs with the Spectral Scan Statistic. | James Sharpnack, Aarti Singh, Alessandro Rinaldo |
| 2010 | PSD | Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. | Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang |