Statistics

Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NeurIPS 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 Modeling Dependent Structure for Utterances in ASR Evaluation Interspeech 2023 Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract) AAAI 2023 Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023 Multi-layered Annotation of Conversation-like Narratives in German ACL 2023 Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NeurIPS 2023 Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NeurIPS 2023 Near-optimal fitting of ellipsoids to random points COLT 2023 NLPositionality: Characterizing Design Biases of Datasets and Models ACL 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 On Computing Pairwise Statistics with Local Differential Privacy NeurIPS 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NeurIPS 2023 On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation CVPR 2023 On the Convergence Rate of Gaussianization with Random Rotations ICML 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 On the Exploration of Local Significant Differences For Two-Sample Test NeurIPS 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023