Statistics

Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Statistical Query Lower Bounds for Learning Truncated Gaussians COLT 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024 Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024 The Metronome Approach to Sanskrit Meter: Analysis for the Rigveda ACL 2024 The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NeurIPS 2024 The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 The sub-band cepstrum as a tool for locating local spectral regions of phonetic sensitivity: A first attempt with multi-speaker vowel data Interspeech 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 Top-K ranking with a monotone adversary COLT 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 Uncertainty Quantification of MLE for Entity Ranking with Covariates JMLR 2024 Urdu Alternative Questions: A Hat Pattern Interspeech 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Variance estimation in compound decision theory under boundedness NeurIPS 2024 Vector Quantile Regression on Manifolds AISTATS 2024 Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NeurIPS 2024 When Is Inductive Inference Possible? NeurIPS 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 Aberystwyth English Pre-aspiration in Apparent Time Interspeech 2023 A Bounded Ability Estimation for Computerized Adaptive Testing NeurIPS 2023 Adaptive Clustering Using Kernel Density Estimators JMLR 2023 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023