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1219 directly classified papers

Papers per year

Papers

Range-Based Equal Error Rate for Spoof Localization INTERSPEECH 2023
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023
Sociodemographic and Attitudinal Effects on Dialect Speakers’ Articulation of the Standard Language: Evidence from German-Speaking Switzerland INTERSPEECH 2023
Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities INTERSPEECH 2023
Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023
Optimized Covariance Design for AB Test on Social Network under Interference NIPS 2023
Effects of perceived gender on the perceived social function of laughter INTERSPEECH 2023
On Computing Pairwise Statistics with Local Differential Privacy NIPS 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023
A Measure-Theoretic Axiomatisation of Causality NIPS 2023
Learning Exponential Families from Truncated Samples NIPS 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings NIPS 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Bootstrap in High Dimension with Low Computation ICML 2023
On the Convergence Rate of Gaussianization with Random Rotations ICML 2023
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NIPS 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments NIPS 2023
Time-uniform confidence bands for the CDF under nonstationarity NIPS 2023
Feature Adaptation for Sparse Linear Regression NIPS 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023
The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023
Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023