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1219 directly classified papers

Papers per year

Papers

Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Network Regression with Graph Laplacians JMLR 2022
PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy JMLR 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022
RUMs from Head-to-Head Contests ICML 2022
Fast Stagewise Sparse Factor Regression JMLR 2022
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022
Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022
Community detection in sparse latent space models JMLR 2022
Private High-Dimensional Hypothesis Testing COLT 2022
Unsupervised Tokenization Learning EMNLP 2022
Uniform deconvolution for Poisson Point Processes JMLR 2022
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022
A Witness Two-Sample Test AISTATS 2022
Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022
A Kernel Two-Sample Test for Functional Data JMLR 2022
Identity Testing of Reversible Markov Chains AISTATS 2022
Metrics of Calibration for Probabilistic Predictions JMLR 2022
The Correlation-assisted Missing Data Estimator JMLR 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
Bregman Power k-Means for Clustering Exponential Family Data ICML 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022