Statistics

Statistical Guarantees for Consensus Clustering ICLR 2023 Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023 Statistical Inference for Fisher Market Equilibrium ICLR 2023 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023 TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations ICLR 2023 Towards Inferential Reproducibility of Machine Learning Research ICLR 2023 A Computable Definition of the Spectral Bias AAAI 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NeurIPS 2022 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources ICML 2022 Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification NAACL 2022 Assessing Digital Language Support on a Global Scale COLING 2022 Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022 Asymptotics of smoothed Wasserstein distances in the small noise regime NeurIPS 2022 A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022 AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NeurIPS 2022 A Witness Two-Sample Test AISTATS 2022 BECEL: Benchmark for Consistency Evaluation of Language Models COLING 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022 Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022