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Statistics

1,273 papers

Papers per year

2
10
42
121
35
'05
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Papers

Adaptive Linear Estimating Equations NIPS 2023
Sequential Predictive Two-Sample and Independence Testing NIPS 2023
Universality laws for Gaussian mixtures in generalized linear models NIPS 2023
Conditional independence testing under misspecified inductive biases NIPS 2023
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NIPS 2023
Experimental Designs for Heteroskedastic Variance NIPS 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NIPS 2023
Robust covariance estimation with missing values and cell-wise contamination NIPS 2023
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data NIPS 2023
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NIPS 2023
Langevin Quasi-Monte Carlo NIPS 2023
Unbounded Differentially Private Quantile and Maximum Estimation NIPS 2023
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models NIPS 2023
Optimal testing using combined test statistics across independent studies NIPS 2023
Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023
Frustratingly Easy Truth Discovery AAAI 2023
Integer Subspace Differential Privacy AAAI 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023
Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract) AAAI 2023
NLPositionality: Characterizing Design Biases of Datasets and Models ACL 2023
Should you marginalize over possible tokenizations? ACL 2023
A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus ACL 2023