Statistics

Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NeurIPS 2023 Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NeurIPS 2023 Bootstrap in High Dimension with Low Computation ICML 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023 Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment Interspeech 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models ICLR 2023 Computing Approximate ℓ_p Sensitivities NeurIPS 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Correction of Errors in Preference Ratings from Automated Metrics for Text Generation ACL 2023 Covariate balancing using the integral probability metric for causal inference ICML 2023 Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023 DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Efficient median of means estimator COLT 2023 Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023 False Discovery Proportion control for aggregated Knockoffs NeurIPS 2023 Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023 FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics AAAI 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023