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ORCIDAlessandro Rinaldo
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2020 – today
- 2024
[j17]Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo:
Network Online Change Point Localization. SIAM J. Math. Data Sci. 6(1): 176-198 (2024)- [j16]Gen Li, Weichen Wu
, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei:
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory 70(8): 5969-5999 (2024) - [c30]Weichen Wu, Jisu Kim, Alessandro Rinaldo:
On the estimation of persistence intensity functions and linear representations of persistence diagrams. AISTATS 2024: 3610-3618 - [c29]Huy Nguyen, Nhat Ho, Alessandro Rinaldo:
On Least Square Estimation in Softmax Gating Mixture of Experts. ICML 2024 - [i30]Huy Nguyen, Nhat Ho, Alessandro Rinaldo:
On Least Squares Estimation in Softmax Gating Mixture of Experts. CoRR abs/2402.02952 (2024) - [i29]Huy Nguyen, Nhat Ho, Alessandro Rinaldo:
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts. CoRR abs/2405.13997 (2024) - 2023
- [c28]Wanshan Li, Daren Wang, Alessandro Rinaldo:
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions. ICML 2023: 20065-20148 - [i28]Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei:
Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR abs/2305.19001 (2023) - 2022
- [j15]Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang, Alessandro Rinaldo:
Optimal Nonparametric Multivariate Change Point Detection and Localization. IEEE Trans. Inf. Theory 68(3): 1922-1944 (2022) - [c27]Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo:
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. AISTATS 2022: 4309-4338 - [c26]Yi Yu, Oscar Hernan Madrid Padilla, Alessandro Rinaldo:
Optimal partition recovery in general graphs. AISTATS 2022: 4339-4358 - [c25]Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani:
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression. AISTATS 2022: 6087-6120 - [c24]Heejong Bong, Alessandro Rinaldo:
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model. ICML 2022: 2160-2177 - [c23]Wanshan Li, Alessandro Rinaldo, Daren Wang:
Detecting Abrupt Changes in Sequential Pairwise Comparison Data. NeurIPS 2022 - [c22]Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo:
ℓ∞-Bounds of the MLE in the BTL Model under General Comparison Graphs. UAI 2022: 1178-1187 - [i27]Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo:
Mitigating multiple descents: A model-agnostic framework for risk monotonization. CoRR abs/2205.12937 (2022) - 2021
- [j14]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test. IEEE J. Sel. Areas Inf. Theory 2(2): 691-704 (2021) - [j13]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits. SIAM J. Math. Data Sci. 3(4): 1278-1300 (2021) - [c21]Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu:
Localizing Changes in High-Dimensional Regression Models. AISTATS 2021: 2089-2097 - [c20]Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani:
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. AISTATS 2021: 3178-3186 - [c19]Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo:
Lattice partition recovery with dyadic CART. NeurIPS 2021: 26143-26155 - [i26]Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo:
Optimal network online change point localisation. CoRR abs/2101.05477 (2021) - [i25]Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo:
Lattice partition recovery with dyadic CART. CoRR abs/2105.13504 (2021) - 2020
- [c18]Heejong Bong, Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo:
Nonparametric Estimation in the Dynamic Bradley-Terry Model. AISTATS 2020: 3317-3326 - [c17]Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman:
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG 2020: 54:1-54:19 - [c16]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On Conditional Versus Marginal Bias in Multi-Armed Bandits. ICML 2020: 8852-8861
2010 – 2019
- 2019
- [j12]Daren Wang, Xinyang Lu, Alessandro Rinaldo:
DBSCAN: Optimal Rates For Density-Based Cluster Estimation. J. Mach. Learn. Res. 20: 170:1-170:50 (2019) - [j11]Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman:
Minimax rates for estimating the dimension of a manifold. J. Comput. Geom. 10(1): 42-95 (2019) - [c15]Kayvan Sadeghi, Alessandro Rinaldo:
Markov Properties of Discrete Determinantal Point Processes. AISTATS 2019: 1313-1321 - [c14]Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman:
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension. ICML 2019: 3398-3407 - [c13]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
Are sample means in multi-armed bandits positively or negatively biased? NeurIPS 2019: 7100-7109 - [c12]Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo:
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. NeurIPS 2019: 10921-10931 - [i24]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On the bias, risk and consistency of sample means in multi-armed bandits. CoRR abs/1902.00746 (2019) - [i23]Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman:
Nerve Theorem on a Positive Reach set. CoRR abs/1903.06955 (2019) - [i22]Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo:
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. CoRR abs/1907.03813 (2019) - 2018
- [i21]Kwangho Kim, Jisu Kim, Alessandro Rinaldo:
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting. CoRR abs/1812.02987 (2018) - 2017
- [j10]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Robust Topological Inference: Distance To a Measure and Kernel Distance. J. Mach. Learn. Res. 18: 159:1-159:40 (2017) - [c11]Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani:
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. NIPS 2017: 6884-6893 - 2016
- [j9]James Sharpnack, Alessandro Rinaldo, Aarti Singh:
Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic. IEEE Trans. Signal Process. 64(2): 364-379 (2016) - [c10]Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry A. Wasserman:
Statistical Inference for Cluster Trees. NIPS 2016: 1831-1839 - [i20]Nicolas Kim, Dane Wilburne, Sonja Petrovic, Alessandro Rinaldo:
On the Geometry and Extremal Properties of the Edge-Degeneracy Model. CoRR abs/1602.00180 (2016) - [i19]Jisu Kim, Alessandro Rinaldo, Larry A. Wasserman:
Minimax Rates for Estimating the Dimension of a Manifold. CoRR abs/1605.01011 (2016) - 2015
- [j8]Jing Lei, Alessandro Rinaldo, Larry A. Wasserman:
A conformal prediction approach to explore functional data. Ann. Math. Artif. Intell. 74(1-2): 29-43 (2015) - [j7]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. 6(2): 140-161 (2015) - [c9]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. ICML 2015: 2143-2151 - 2014
- [j6]Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Statistical analysis of metric graph reconstruction. J. Mach. Learn. Res. 15(1): 3425-3446 (2014) - [c8]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG 2014: 474 - [i18]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. CoRR abs/1406.1901 (2014) - [i17]Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg:
β models for random hypergraphs with a given degree sequence. CoRR abs/1407.1004 (2014) - [i16]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Robust Topological Inference: Distance To a Measure and Kernel Distance. CoRR abs/1412.7197 (2014) - 2013
- [j5]Rob Hall, Alessandro Rinaldo, Larry A. Wasserman:
Differential privacy for functions and functional data. J. Mach. Learn. Res. 14(1): 703-727 (2013) - [j4]Robert J. Hall, Larry A. Wasserman, Alessandro Rinaldo:
Random Differential Privacy. J. Priv. Confidentiality 4(2) (2013) - [c7]Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman:
Distribution-Free Distribution Regression. AISTATS 2013: 507-515 - [c6]James Sharpnack, Aarti Singh, Alessandro Rinaldo:
Changepoint Detection over Graphs with the Spectral Scan Statistic. AISTATS 2013: 545-553 - [c5]Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
Cluster Trees on Manifolds. NIPS 2013: 2679-2687 - [i15]Barnabás Póczos, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
Distribution-Free Distribution Regression. CoRR abs/1302.0082 (2013) - [i14]Jing Lei, Alessandro Rinaldo, Larry A. Wasserman:
A Conformal Prediction Approach to Explore Functional Data. CoRR abs/1302.6452 (2013) - [i13]Sivaraman Balakrishnan, Brittany Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
Statistical Inference For Persistent Homology. CoRR abs/1303.7117 (2013) - [i12]Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Statistical Analysis of Metric Graph Reconstruction. CoRR abs/1305.1212 (2013) - [i11]Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
Cluster Trees on Manifolds. CoRR abs/1307.6515 (2013) - [i10]Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
Tight Lower Bounds for Homology Inference. CoRR abs/1307.7666 (2013) - [i9]Brian P. Kent, Alessandro Rinaldo, Timothy D. Verstynen:
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering. CoRR abs/1307.8136 (2013) - [i8]Larry A. Wasserman, Mladen Kolar, Alessandro Rinaldo:
Estimating Undirected Graphs Under Weak Assumptions. CoRR abs/1309.6933 (2013) - [i7]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
On the Bootstrap for Persistence Diagrams and Landscapes. CoRR abs/1311.0376 (2013) - [i6]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR abs/1312.0308 (2013) - 2012
- [j3]Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry A. Wasserman:
Stability of density-based clustering. J. Mach. Learn. Res. 13: 905-948 (2012) - [j2]Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo:
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications. J. Priv. Confidentiality 4(1) (2012) - [c4]Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman:
Minimax rates for homology inference. AISTATS 2012: 64-72 - [c3]James Sharpnack, Aarti Singh, Alessandro Rinaldo:
Sparsistency of the Edge Lasso over Graphs. AISTATS 2012: 1028-1036 - [i5]Rob Hall, Alessandro Rinaldo, Larry A. Wasserman:
Differential Privacy for Functions and Functional Data. CoRR abs/1203.2570 (2012) - [i4]James Sharpnack, Alessandro Rinaldo, Aarti Singh:
Changepoint Detection over Graphs with the Spectral Scan Statistic. CoRR abs/1206.0773 (2012) - 2011
- [c2]Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh:
Minimax Localization of Structural Information in Large Noisy Matrices. NIPS 2011: 909-917 - [i3]Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg:
Maximum Likelihood Estimation in Network Models. CoRR abs/1105.6145 (2011) - [i2]Rob Hall, Alessandro Rinaldo, Larry A. Wasserman:
Random Differential Privacy. CoRR abs/1112.2680 (2011) - [i1]Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman:
Minimax Rates for Homology Inference. CoRR abs/1112.5627 (2011) - 2010
- [c1]Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang:
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. Privacy in Statistical Databases 2010: 187-199
2000 – 2009
- 2006
- [j1]Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo, Seth Sullivant:
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models. J. Symb. Comput. 41(2): 222-233 (2006)
Coauthor Index
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