Statistics

Heavy-tailed Estimation is Easier than Adversarial Contamination COLT 2025 Hypothesis Testing for Generalized Thurstone Models ICML 2025 Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models COLT 2025 Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025 Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes COLING 2025 Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025 Messages from the Quran and the Bible in Mandarin through Factor Analysis with Syntactic and Semantic Tags COLING 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Moments of Causal Effects UAI 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 Nonparametric estimation of Hawkes processes with RKHSs AISTATS 2025 Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025 Off-Policy Evaluation under Nonignorable Missing Data ICML 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation COLT 2025 On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025 On the Statistical Mechanisms of Distributional Compositional Generalization ICML 2025 Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025 Optimal Submanifold Structure in Log-linear Models UAI 2025 Optimal Survey Design for Private Mean Estimation ICML 2025 Overtuning in Hyperparameter Optimization AutoML 2025 Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy AISTATS 2025 Prediction-Powered E-Values ICML 2025 Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies ICML 2025