← Authors

Alessandro Rinaldo

32 papers · 2011–2024 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (143) ⚑ Prolific Year (5) πŸ’Ž Century Club (32) πŸ”₯ Unstoppable (14) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AISTATS (11) NIPS (9) ICML (6) JMLR (5) UAI (1)

Top co-authors

Larry Wasserman (9) Aarti Singh (6) Yi Yu (4) Daren Wang (4) Wanshan Li (4) Jaehyeok Shin (3) Jisu KIM (3) Sivaraman Balakrishnan (3) Fabrizio Lecci (3) Ryan Tibshirani (2)

Research topics

Statistics (4)

Keywords

change point detection (5) cluster tree (4) high-dimensional statistics (4) pairwise comparison (4) bradley-terry-luce model (3) fused lasso (3) density estimation (3) dynamic programming (3) topological data analysis (3) kernel density estimation (3) changepoint detection (2) statistical learning (2) persistent homology (2) multi-armed bandit (2) sparse regression (2) high-dimensional regression (2) ridge regression (2) nearest neighbor (2) robust statistics (2) computational complexity (2)

Papers

Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts NIPS 2024
On Least Square Estimation in Softmax Gating Mixture of Experts ICML 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023
$\ell_∞$-Bounds of the MLE in the BTL Model under General Comparison Graphs UAI 2022
Detecting Abrupt Changes in Sequential Pairwise Comparison Data NIPS 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
Optimal partition recovery in general graphs AISTATS 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model ICML 2022
Lattice partition recovery with dyadic CART NIPS 2021
Localizing Changes in High-Dimensional Regression Models AISTATS 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021
On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020
Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NIPS 2019
Are sample means in multi-armed bandits positively or negatively biased? NIPS 2019
Markov Properties of Discrete Determinantal Point Processes AISTATS 2019
DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019
Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening NIPS 2017
Statistical Inference for Cluster Trees NIPS 2016
Subsampling Methods for Persistent Homology ICML 2015
Statistical Analysis of Metric Graph Reconstruction JMLR 2014
Distribution-Free Distribution Regression AISTATS 2013
Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013
Cluster Trees on Manifolds NIPS 2013
Differential Privacy for Functions and Functional Data JMLR 2013
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Stability of Density-Based Clustering JMLR 2012
Minimax Localization of Structural Information in Large Noisy Matrices NIPS 2011