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684 directly classified papers

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Papers

Influence Diagnostics under Self-concordance AISTATS 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023
Non-stationary Experimental Design under Linear Trends NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Adaptive Linear Estimating Equations NIPS 2023
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics AAAI 2023
Bootstrap in High Dimension with Low Computation ICML 2023
Private Statistical Estimation of Many Quantiles ICML 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Neural Dependencies Emerging From Learning Massive Categories CVPR 2023
Covariate balancing using the integral probability metric for causal inference ICML 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
Online Platt Scaling with Calibeating ICML 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Selection by Prediction with Conformal p-values JMLR 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
Naive imputation implicitly regularizes high-dimensional linear models ICML 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023