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1219 directly classified papers

Papers per year

Papers

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
The Correlation-assisted Missing Data Estimator JMLR 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness NIPS 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics NIPS 2022
A Probabilistic Graph Coupling View of Dimension Reduction NIPS 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
Offline change detection under contamination UAI 2022
AutoML Two-Sample Test NIPS 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
Kernel Methods for Radial Transformed Compositional Data with Many Zeros ICML 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022
Modular Conformal Calibration ICML 2022
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models ICML 2022
A Statistical Manifold Framework for Point Cloud Data ICML 2022
Differentially Private Maximal Information Coefficients ICML 2022
Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Differentially Private Approximate Quantiles ICML 2022
Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022
A permutation-free kernel two-sample test NIPS 2022