VecDBLens: An Evaluatology-Based Framework for Vector Database Diagnosis
1 version
WZ
Wenxin Zhou
stat.MEmath.STstat.THstat.MLmath.PRcs.LGcs.CLHigh dimensionspurious correlationBahadur-Kiefer representation
On Valency
published · living versionsHarnessing collaborative networks for nonparametric quantile learning
Temporal-Difference Calibration of Black-Box Simulators
Preprints & journals
41 papers in the corpus · 2013–2026Generalized Rank Regression
0 citations
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
0 citations
Distributed robust estimation and inference with contaminated data.
1 citation
Deep neural expected shortfall regression with tail-robustness
0 citations
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions
0 citations
Biomedical Nested NER with Large Language Model and UMLS Heuristics
2 citations
Subgroup Identification with Latent Factor Structure
1 citation
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand
5 citations
High-Dimensional Expected Shortfall Regression
2 citations
Huber Principal Component Analysis for Large-dimensional Factor Models
13 citations
An Efficient Iterative Least Squares Algorithm for Large-dimensional Matrix Factor Model via Random Projection
0 citations
Retire: Robust Expectile Regression in High Dimensions
15 citations
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors
17 citations
Scalable estimation and inference for censored quantile regression process
13 citations
High-Dimensional Composite Quantile Regression: Optimal Statistical Guarantees and Fast Algorithms
12 citations
A new non-parametric Kendall's tau for matrix-valued elliptical observations
4 citations
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression
21 citations
How do noise tails impact on deep ReLU networks?
10 citations
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
75 citations
Smoothed Quantile Regression with Large-Scale Inference.
137 citations
Distributed Adaptive Huber Regression
20 citations
Adaptive Capped Least Squares
0 citations
On the Asymptotic Distribution of the Scan Statistic for Empirical Distributions
0 citations
Iteratively Reweighted -Penalized Robust Regression
0 citations
Robust Inference via Multiplier Bootstrap
28 citations
FarmTest: Factor-adjusted robust multiple testing with approximate false discovery control.
41 citations
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
59 citations
ARE DISCOVERIES SPURIOUS? DISTRIBUTIONS OF MAXIMUM SPURIOUS CORRELATIONS AND THEIR APPLICATIONS.
40 citations
Principal component analysis for big data
65 citations
A New Perspective on Robust -Estimation: Finite Sample Theory and Applications to Dependence-Adjusted Multiple Testing
67 citations
Adaptive Huber Regression
0 citations
Simulation-based hypothesis testing of high dimensional means under covariance heterogeneity.
63 citations
Max-Norm Optimization for Robust Matrix Recovery
23 citations
On Gaussian Comparison Inequality and Its Application to Spectral Analysis of Large Random Matrices
13 citations
Nonparametric covariate-adjusted regression
75 citations
Guarding against Spurious Discoveries in High Dimensions.
15 citations
Two-Sample Smooth Tests for the Equality of Distributions
22 citations
Cramér-type moderate deviations for Studentized two-sample -statistics with applications
25 citations
Cramér type moderate deviation theorems for self-normalized processes
32 citations
Necessary and sufficient conditions for the asymptotic distributions of coherence of ultra-high dimensional random matrices
27 citations
Matrix Completion via Max-Norm Constrained Optimization
75 citations
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