Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models. - Nicholas Eriksson; Stephen E. Fienberg; Alessandro Rinaldo; Seth Sullivant (J. Symb. Comput., 2006)

Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. - Stephen E. Fienberg; Alessandro Rinaldo; Xiaolin Yang (Privacy in Statistical Databases, 2010)

Minimax Localization of Structural Information in Large Noisy Matrices. - Mladen Kolar; Sivaraman Balakrishnan; Alessandro Rinaldo; Aarti Singh (NIPS, 2011)

Maximum Likelihood Estimation in Network Models - Alessandro Rinaldo; Sonja Petrovic; Stephen E. Fienberg (CoRR, 2011)

Minimax rates for homology inference. - Sivaraman Balakrishnan; Alessandro Rinaldo; Don Sheehy; Aarti Singh; Larry A. Wasserman (AISTATS, 2012)

Stability of density-based clustering. - Alessandro Rinaldo; Aarti Singh; Rebecca Nugent; Larry A. Wasserman (J. Mach. Learn. Res., 2012)

Sparsistency of the Edge Lasso over Graphs. - James Sharpnack; Aarti Singh; Alessandro Rinaldo (AISTATS, 2012)

Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications. - Xiaolin Yang; Stephen E. Fienberg; Alessandro Rinaldo (J. Priv. Confidentiality, 2012)

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

Changepoint Detection over Graphs with the Spectral Scan Statistic. - James Sharpnack; Aarti Singh; Alessandro Rinaldo (AISTATS, 2013)

Cluster Trees on Manifolds. - Sivaraman Balakrishnan; Srivatsan Narayanan; Alessandro Rinaldo; Aarti Singh; Larry A. Wasserman (NIPS, 2013)

Tight Lower Bounds for Homology Inference. - Sivaraman Balakrishnan; Alessandro Rinaldo; Aarti Singh; Larry A. Wasserman (CoRR, 2013)

On the Bootstrap for Persistence Diagrams and Landscapes. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Alessandro Rinaldo; Aarti Singh; Larry A. Wasserman (CoRR, 2013)

DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering. - Brian P. Kent; Alessandro Rinaldo; Timothy D. Verstynen (CoRR, 2013)

Estimating Undirected Graphs Under Weak Assumptions. - Larry A. Wasserman; Mladen Kolar; Alessandro Rinaldo (CoRR, 2013)

Statistical Inference For Persistent Homology - Sivaraman Balakrishnan; Brittany Terese Fasy; Fabrizio Lecci; Alessandro Rinaldo; Aarti Singh; Larry A. Wasserman (CoRR, 2013)

Differential privacy for functions and functional data. - Rob Hall 001; Alessandro Rinaldo; Larry A. Wasserman (J. Mach. Learn. Res., 2013)

Random Differential Privacy. - Robert J. Hall 002; Larry A. Wasserman; Alessandro Rinaldo (J. Priv. Confidentiality, 2013)

β models for random hypergraphs with a given degree sequence. - Despina Stasi; Kayvan Sadeghi; Alessandro Rinaldo; Sonja Petrovic; Stephen E. Fienberg (CoRR, 2014)

Statistical analysis of metric graph reconstruction. - Fabrizio Lecci; Alessandro Rinaldo; Larry A. Wasserman (J. Mach. Learn. Res., 2014)

Subsampling Methods for Persistent Homology. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Bertrand Michel; Alessandro Rinaldo; Larry A. Wasserman (ICML, 2015)

A conformal prediction approach to explore functional data. - Jing Lei 003; Alessandro Rinaldo; Larry A. Wasserman (Ann. Math. Artif. Intell., 2015)

Stochastic convergence of persistence landscapes and silhouettes. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Alessandro Rinaldo; Larry A. Wasserman (J. Comput. Geom., 2015)

Statistical Inference for Cluster Trees. - Jisu Kim; Yen-Chi Chen; Sivaraman Balakrishnan; Alessandro Rinaldo; Larry A. Wasserman (NIPS, 2016)

On the Geometry and Extremal Properties of the Edge-Degeneracy Model. - Nicolas Kim; Dane Wilburne; Sonja Petrovic; Alessandro Rinaldo (CoRR, 2016)

Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic. - James Sharpnack; Alessandro Rinaldo; Aarti Singh (IEEE Trans. Signal Process., 2016)

A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. - Kevin Lin; James Sharpnack; Alessandro Rinaldo; Ryan J. Tibshirani (NIPS, 2017)

Robust Topological Inference: Distance To a Measure and Kernel Distance. - Frédéric Chazal; Brittany Terese Fasy; Fabrizio Lecci; Bertrand Michel; Alessandro Rinaldo; Larry A. Wasserman (J. Mach. Learn. Res., 2017)

Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting. - Kwangho Kim; Jisu Kim; Alessandro Rinaldo (CoRR, 2018)

Markov Properties of Discrete Determinantal Point Processes. - Kayvan Sadeghi; Alessandro Rinaldo (AISTATS, 2019)

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

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. - Xiaoyi Gu; Leman Akoglu; Alessandro Rinaldo (NeurIPS, 2019)

Are sample means in multi-armed bandits positively or negatively biased? - Jaehyeok Shin; Aaditya Ramdas; Alessandro Rinaldo (NeurIPS, 2019)

Nerve Theorem on a Positive Reach set. - Jisu Kim; Jaehyeok Shin; Alessandro Rinaldo; Larry A. Wasserman (CoRR, 2019)

DBSCAN: Optimal Rates For Density-Based Cluster Estimation. - Daren Wang; Xinyang Lu; Alessandro Rinaldo (J. Mach. Learn. Res., 2019)

Minimax rates for estimating the dimension of a manifold. - Jisu Kim; Alessandro Rinaldo; Larry A. Wasserman (J. Comput. Geom., 2019)

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

Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. - Jisu Kim; Jaehyeok Shin; Frédéric Chazal; Alessandro Rinaldo; Larry A. Wasserman (SoCG, 2020)

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

Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. - Pratik Patil; Yuting Wei 001; Alessandro Rinaldo; Ryan J. Tibshirani (AISTATS, 2021)

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

Lattice partition recovery with dyadic CART. - Oscar Hernan Madrid Padilla; Yi Yu; Alessandro Rinaldo (NeurIPS, 2021)

Optimal network online change point localisation. - Yi Yu; Oscar Hernan Madrid Padilla; Daren Wang; Alessandro Rinaldo (CoRR, 2021)

Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test. - Jaehyeok Shin; Aaditya Ramdas; Alessandro Rinaldo (IEEE J. Sel. Areas Inf. Theory, 2021)

On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits. - Jaehyeok Shin; Aaditya Ramdas; Alessandro Rinaldo (SIAM J. Math. Data Sci., 2021)

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

Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. - Fan Wang; Oscar Hernan Madrid Padilla; Yi Yu; Alessandro Rinaldo (AISTATS, 2022)

Optimal partition recovery in general graphs. - Yi Yu; Oscar Hernan Madrid Padilla; Alessandro Rinaldo (AISTATS, 2022)

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

Detecting Abrupt Changes in Sequential Pairwise Comparison Data. - Wanshan Li; Alessandro Rinaldo; Daren Wang (NeurIPS, 2022)

ℓ∞-Bounds of the MLE in the BTL Model under General Comparison Graphs. - Wanshan Li; Shamindra Shrotriya; Alessandro Rinaldo (UAI, 2022)

Mitigating multiple descents: A model-agnostic framework for risk monotonization. - Pratik Patil; Arun Kumar Kuchibhotla; Yuting Wei 001; Alessandro Rinaldo (CoRR, 2022)

Optimal Nonparametric Multivariate Change Point Detection and Localization. - Oscar Hernan Madrid Padilla; Yi Yu; Daren Wang; Alessandro Rinaldo (IEEE Trans. Inf. Theory, 2022)

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

Sharp high-probability sample complexities for policy evaluation with linear function approximation. - Gen Li 005; Weichen Wu; Yuejie Chi; Cong Ma 001; Alessandro Rinaldo; Yuting Wei 001 (CoRR, 2023)

On the estimation of persistence intensity functions and linear representations of persistence diagrams. - Weichen Wu; Jisu Kim; Alessandro Rinaldo (AISTATS, 2024)

On Least Square Estimation in Softmax Gating Mixture of Experts. - Huy Nguyen; Nhat Ho; Alessandro Rinaldo (ICML, 2024)

Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts. - Huy Nguyen; Nhat Ho; Alessandro Rinaldo (NeurIPS, 2024)

On Least Squares Estimation in Softmax Gating Mixture of Experts. - Huy Nguyen; Nhat Ho; Alessandro Rinaldo (CoRR, 2024)

Straightness of Rectified Flow: A Theoretical Insight into Wasserstein Convergence. - Vansh Bansal; Saptarshi Roy; Purnamrita Sarkar; Alessandro Rinaldo (CoRR, 2024)

Statistical Inference for Temporal Difference Learning with Linear Function Approximation. - Weichen Wu; Gen Li; Yuting Wei; Alessandro Rinaldo (CoRR, 2024)

Network Online Change Point Localization. - Yi Yu; Oscar Hernan Madrid Padilla; Daren Wang; Alessandro Rinaldo (SIAM J. Math. Data Sci., 2024)

High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. - Gen Li 005; Weichen Wu; Yuejie Chi; Cong Ma 001; Alessandro Rinaldo; Yuting Wei 001 (IEEE Trans. Inf. Theory, 2024)

Sigmoid Self-Attention is Better than Softmax Self-Attention: A Mixture-of-Experts Perspective. - Fanqi Yan; Huy Nguyen; Pedram Akbarian; Nhat Ho; Alessandro Rinaldo (CoRR, 2025)

Uncertainty quantification for Markov chains with application to temporal difference learning. - Weichen Wu; Yuting Wei; Alessandro Rinaldo (CoRR, 2025)

Convergence Rates for Softmax Gating Mixture of Experts. - Huy Nguyen; Nhat Ho; Alessandro Rinaldo (CoRR, 2025)

On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating. - Huy Nguyen; Thong T. Doan; Quang Pham; Nghi D. Q. Bui; Nhat Ho; Alessandro Rinaldo (CoRR, 2025)

On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts. - Fanqi Yan; Huy Nguyen; Dung Le; Pedram Akbarian; Nhat Ho; Alessandro Rinaldo (CoRR, 2025)