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Statistics

684 papers

Papers per year

1
11
12
46
39
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Papers

A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024
Is Score Matching Suitable for Estimating Point Processes? NIPS 2024
Nonlinear dynamics of localization in neural receptive fields NIPS 2024
Implicit Regularization Paths of Weighted Neural Representations NIPS 2024
Hierarchical and Density-based Causal Clustering NIPS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
Reliable Learning of Halfspaces under Gaussian Marginals NIPS 2024
Gradients of Functions of Large Matrices NIPS 2024
Incentivizing Quality Text Generation via Statistical Contracts NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Rejection via Learning Density Ratios NIPS 2024
Conformalized Multiple Testing after Data-dependent Selection NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NIPS 2024
Generalized Fast Exact Conformalization NIPS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NIPS 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NIPS 2024
Boosted Conformal Prediction Intervals NIPS 2024