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264 directly classified papers

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Papers

Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023
A Permutation-Free Kernel Independence Test JMLR 2023
Huber-robust confidence sequences AISTATS 2023
Subset-Based Instance Optimality in Private Estimation ICML 2023
Effects of perceived gender on the perceived social function of laughter INTERSPEECH 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
Revisiting minimum description length complexity in overparameterized models JMLR 2023
MOS vs. AB: Evaluating Text-to-Speech Systems Reliably Using Clustered Standard Errors INTERSPEECH 2023
Statistical Robustness of Empirical Risks in Machine Learning JMLR 2023
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023
On Distance and Kernel Measures of Conditional Dependence JMLR 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023
Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023
Least Squares Model Averaging for Distributed Data JMLR 2023
Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
Naive imputation implicitly regularizes high-dimensional linear models ICML 2023