Alessandro Rinaldo
32 papers · 2011–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π¬
Deep Specialist
(15)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(143)
β‘
Prolific Year
(5)
π
Century Club
(32)
π₯
Unstoppable
(14)
π
Trend Setter
β
The Questioner
Conferences
AISTATS (11)
NIPS (9)
ICML (6)
JMLR (5)
UAI (1)
Top co-authors
Research topics
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
$\ell_β$-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