Statistics

Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NeurIPS 2022 Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Metrics of Calibration for Probabilistic Predictions JMLR 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Modular Conformal Calibration ICML 2022 MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022 Multidimensional acoustic variation in vowels across English dialects NAACL 2022 Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Network Regression with Graph Laplacians JMLR 2022 Non-parametric inference of relational dependence UAI 2022 Nyström Kernel Mean Embeddings ICML 2022 Offline change detection under contamination UAI 2022 On early extinction and the effect of travelling in the SIR model UAI 2022 On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 On reporting scores and agreement for error annotation tasks EMNLP 2022 On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NeurIPS 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022