Alessandro Rinaldo

90 papers A* 13A 13C 1Journal 59Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Statistical Theory of Gated Attention through the Lens of Hierarchical Mixture of Experts.
CoRR
Viet Nguyen, Tuan Minh Pham, Thinh Cao, Tan Dinh, Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2026 J jnl
Convergence Rates for Softmax Gating Mixture of Experts.
IEEE Trans. Inf. Theory
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2026 J jnl
Low-Dimensional Adaptation of Rectified Flow: A New Perspective through the Lens of Diffusion and Stochastic Localization.
CoRR
Saptarshi Roy, Alessandro Rinaldo, Purnamrita Sarkar
2026 J jnl
Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning.
CoRR
Hien Dang, Pratik Patil, Alessandro Rinaldo
2026 J jnl
Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function.
CoRR
Tuan Minh Pham, Thinh Cao, Viet Nguyen, Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2025 J jnl
Convergence Rates for Softmax Gating Mixture of Experts.
CoRR
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2025 J jnl
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating.
CoRR
Huy Nguyen, Thong T. Doan, Quang Pham, Nghi D. Q. Bui, Nhat Ho, Alessandro Rinaldo
2025 J jnl
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts.
CoRR
Fanqi Yan, Huy Nguyen, Dung Le, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo
2025 J jnl
Sigmoid Self-Attention is Better than Softmax Self-Attention: A Mixture-of-Experts Perspective.
CoRR
Fanqi Yan, Huy Nguyen, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo
2025 J jnl
Uncertainty quantification for Markov chains with application to temporal difference learning.
CoRR
Weichen Wu, Yuting Wei, Alessandro Rinaldo
2024 J jnl
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation.
IEEE Trans. Inf. Theory
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2024 J jnl
Network Online Change Point Localization.
SIAM J. Math. Data Sci.
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo
2024 A* conf
On Least Square Estimation in Softmax Gating Mixture of Experts.
ICML
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2024 J jnl
On Least Squares Estimation in Softmax Gating Mixture of Experts.
CoRR
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2024 A conf
On the estimation of persistence intensity functions and linear representations of persistence diagrams.
AISTATS
Weichen Wu, Jisu Kim, Alessandro Rinaldo
2024 A* conf
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts.
NeurIPS
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2024 J jnl
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts.
CoRR
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
2024 J jnl
Statistical Inference for Temporal Difference Learning with Linear Function Approximation.
CoRR
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
2024 J jnl
Straightness of Rectified Flow: A Theoretical Insight into Wasserstein Convergence.
CoRR
Vansh Bansal, Saptarshi Roy, Purnamrita Sarkar, Alessandro Rinaldo
2023 A* conf
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions.
ICML
Wanshan Li, Daren Wang, Alessandro Rinaldo
2023 J jnl
Sharp high-probability sample complexities for policy evaluation with linear function approximation.
CoRR
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2022 A conf
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients.
AISTATS
Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
2022 A* conf
Detecting Abrupt Changes in Sequential Pairwise Comparison Data.
NeurIPS
Wanshan Li, Alessandro Rinaldo, Daren Wang
2022 A conf
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.
AISTATS
Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani
2022 A* conf
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model.
ICML
Heejong Bong, Alessandro Rinaldo
2022 J jnl
Mitigating multiple descents: A model-agnostic framework for risk monotonization.
CoRR
Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo
2022 J jnl
Optimal Nonparametric Multivariate Change Point Detection and Localization.
IEEE Trans. Inf. Theory
Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang, Alessandro Rinaldo
2022 A conf
Optimal partition recovery in general graphs.
AISTATS
Yi Yu, Oscar Hernan Madrid Padilla, Alessandro Rinaldo
2022 A conf
ℓ
UAI
Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
2021 A* conf
Lattice partition recovery with dyadic CART.
NeurIPS
Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
2021 J jnl
Lattice partition recovery with dyadic CART.
CoRR
Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
2021 A conf
Localizing Changes in High-Dimensional Regression Models.
AISTATS
Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu
2021 J jnl
Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test.
IEEE J. Sel. Areas Inf. Theory
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
2021 J jnl
On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits.
SIAM J. Math. Data Sci.
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
2021 J jnl
Optimal network online change point localisation.
CoRR
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo
2021 A conf
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.
AISTATS
Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani
2020 A* conf
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex.
SoCG
Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman
2020 A conf
Nonparametric Estimation in the Dynamic Bradley-Terry Model.
AISTATS
Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
2020 A* conf
On Conditional Versus Marginal Bias in Multi-Armed Bandits.
ICML
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
2019 A* conf
Are sample means in multi-armed bandits positively or negatively biased?
NeurIPS
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
2019 J jnl
DBSCAN: Optimal Rates For Density-Based Cluster Estimation.
J. Mach. Learn. Res.
Daren Wang, Xinyang Lu, Alessandro Rinaldo
2019 A conf
Markov Properties of Discrete Determinantal Point Processes.
AISTATS
Kayvan Sadeghi, Alessandro Rinaldo
2019 J jnl
Minimax rates for estimating the dimension of a manifold.
J. Comput. Geom.
Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman
2019 J jnl
Nerve Theorem on a Positive Reach set.
CoRR
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman
2019 J jnl
On the bias, risk and consistency of sample means in multi-armed bandits.
CoRR
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
2019 A* conf
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection.
NeurIPS
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
2019 J jnl
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection.
CoRR
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
2019 A* conf
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension.
ICML
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman
2018 J jnl
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting.
CoRR
Kwangho Kim, Jisu Kim, Alessandro Rinaldo
2017 — conf
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.
NIPS
Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani
2017 J jnl
Robust Topological Inference: Distance To a Measure and Kernel Distance.
J. Mach. Learn. Res.
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2016 J jnl
Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic.
IEEE Trans. Signal Process.
James Sharpnack, Alessandro Rinaldo, Aarti Singh
2016 J jnl
Minimax Rates for Estimating the Dimension of a Manifold.
CoRR
Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman
2016 J jnl
On the Geometry and Extremal Properties of the Edge-Degeneracy Model.
CoRR
Nicolas Kim, Dane Wilburne, Sonja Petrovic, Alessandro Rinaldo
2016 — conf
Statistical Inference for Cluster Trees.
NIPS
Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry A. Wasserman
2015 J jnl
A conformal prediction approach to explore functional data.
Ann. Math. Artif. Intell.
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
2015 J jnl
Stochastic convergence of persistence landscapes and silhouettes.
J. Comput. Geom.
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2015 A* conf
Subsampling Methods for Persistent Homology.
ICML
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2014 J jnl
Robust Topological Inference: Distance To a Measure and Kernel Distance.
CoRR
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2014 J jnl
Statistical analysis of metric graph reconstruction.
J. Mach. Learn. Res.
Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2014 A* conf
Stochastic Convergence of Persistence Landscapes and Silhouettes.
SoCG
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2014 J jnl
Subsampling Methods for Persistent Homology.
CoRR
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman
2014 J jnl
β models for random hypergraphs with a given degree sequence.
CoRR
Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
2013 J jnl
A Conformal Prediction Approach to Explore Functional Data
CoRR
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
2013 A conf
Changepoint Detection over Graphs with the Spectral Scan Statistic.
AISTATS
James Sharpnack, Aarti Singh, Alessandro Rinaldo
2013 — conf
Cluster Trees on Manifolds.
NIPS
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013 J jnl
Cluster Trees on Manifolds.
CoRR
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013 J jnl
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering.
CoRR
Brian P. Kent, Alessandro Rinaldo, Timothy D. Verstynen
2013 J jnl
Differential privacy for functions and functional data.
J. Mach. Learn. Res.
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
2013 J jnl
Distribution-Free Distribution Regression
CoRR
Barnabás Póczos, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013 A conf
Distribution-Free Distribution Regression.
AISTATS
Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman
2013 J jnl
Estimating Undirected Graphs Under Weak Assumptions.
CoRR
Larry A. Wasserman, Mladen Kolar, Alessandro Rinaldo
2013 J jnl
On the Bootstrap for Persistence Diagrams and Landscapes.
CoRR
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013 J jnl
Random Differential Privacy.
J. Priv. Confidentiality
Robert J. Hall, Larry A. Wasserman, Alessandro Rinaldo
2013 J jnl
Statistical Analysis of Metric Graph Reconstruction
CoRR
Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2013 J jnl
Statistical Inference For Persistent Homology
CoRR
Sivaraman Balakrishnan, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2013 J jnl
Stochastic Convergence of Persistence Landscapes and Silhouettes.
CoRR
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman
2013 J jnl
Tight Lower Bounds for Homology Inference.
CoRR
Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman
2012 J jnl
Changepoint Detection over Graphs with the Spectral Scan Statistic
CoRR
James Sharpnack, Alessandro Rinaldo, Aarti Singh
2012 J jnl
Differential Privacy for Functions and Functional Data
CoRR
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
2012 J jnl
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications.
J. Priv. Confidentiality
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
2012 A conf
Minimax rates for homology inference.
AISTATS
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman
2012 A conf
Sparsistency of the Edge Lasso over Graphs.
AISTATS
James Sharpnack, Aarti Singh, Alessandro Rinaldo
2012 J jnl
Stability of density-based clustering.
J. Mach. Learn. Res.
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry A. Wasserman
2011 J jnl
Maximum Likelihood Estimation in Network Models
CoRR
Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
2011 — conf
Minimax Localization of Structural Information in Large Noisy Matrices.
NIPS
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh
2011 J jnl
Minimax Rates for Homology Inference
CoRR
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman
2011 J jnl
Random Differential Privacy
CoRR
Rob Hall, Alessandro Rinaldo, Larry A. Wasserman
2010 C conf
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables.
Privacy in Statistical Databases
Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang
2006 J jnl
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models.
J. Symb. Comput.
Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo, Seth Sullivant