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684 directly classified papers

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Papers

Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023
Naive imputation implicitly regularizes high-dimensional linear models ICML 2023
Regression with Label Permutation in Generalized Linear Model ICML 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Precision/Recall on Imbalanced Test Data AISTATS 2023
Influence Diagnostics under Self-concordance AISTATS 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023
Private Statistical Estimation of Many Quantiles ICML 2023
Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics AAAI 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment INTERSPEECH 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023
Robust Sparse Mean Estimation via Sum of Squares COLT 2022
Robust Kernel Density Estimation with Median-of-Means principle ICML 2022
Power Iteration for Tensor PCA JMLR 2022
Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022
Estimating Density Models with Truncation Boundaries using Score Matching JMLR 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training JMLR 2022
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics NAACL 2022