Statistical Learning

Convergence Rates for Gaussian Mixtures of Experts JMLR 2022 Coordinated Double Machine Learning ICML 2022 Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification AAAI 2022 Data-Derived Weak Universal Consistency JMLR 2022 Datamodels: Understanding Predictions with Data and Data with Predictions ICML 2022 Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022 Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges IJCAI 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 Debiased Machine Learning without Sample-Splitting for Stable Estimators NeurIPS 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning NeurIPS 2022 Delay-Adaptive Step-sizes for Asynchronous Learning ICML 2022 Density Ratio Estimation via Infinitesimal Classification AISTATS 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 Detection and Localization of Changes in Conditional Distributions NeurIPS 2022 dialectR: Doing Dialectometry in R COLING 2022 Differentially Describing Groups of Graphs AAAI 2022 Differentially Private Community Detection for Stochastic Block Models ICML 2022 Differentially Private Regression with Unbounded Covariates AISTATS 2022 Differential privacy and robust statistics in high dimensions COLT 2022 Discourse Context Predictability Effects in Hindi Word Order EMNLP 2022 Disentanglement Analysis with Partial Information Decomposition ICLR 2022 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022