Statistics

Bregman Power k-Means for Clustering Exponential Family Data ICML 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022 Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables AAAI 2022 Causal Inference with Non-IID Data using Linear Graphical Models NeurIPS 2022 Community detection in sparse latent space models JMLR 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Conformalized Fairness via Quantile Regression NeurIPS 2022 Convergence Guarantees for the Good-Turing Estimator JMLR 2022 Convergence Rates for Gaussian Mixtures of Experts JMLR 2022 DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search AISTATS 2022 Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022 Development of the Siberian Ingrian Finnish Speech Corpus ACL 2022 Differentially Private Approximate Quantiles ICML 2022 Differentially Private Covariance Revisited NeurIPS 2022 Differentially Private Maximal Information Coefficients ICML 2022 Differential privacy and robust statistics in high dimensions COLT 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Distributional Convergence of the Sliced Wasserstein Process NeurIPS 2022 Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Entropy Estimation via Normalizing Flow AAAI 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022 Estimating graphical models for count data with applications to single-cell gene network NeurIPS 2022