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1,273 papers

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121
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Papers

Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence NIPS 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Contrastive dimension reduction: when and how? NIPS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Sample Complexity of Posted Pricing for a Single Item NIPS 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
The Space Complexity of Approximating Logistic Loss NIPS 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
When Is Inductive Inference Possible? NIPS 2024
Statistical Multicriteria Benchmarking via the GSD-Front NIPS 2024
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NIPS 2024
Dimension-free Private Mean Estimation for Anisotropic Distributions NIPS 2024
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models NIPS 2024
Entrywise error bounds for low-rank approximations of kernel matrices NIPS 2024
Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024
Principle Component Trees and Their Persistent Homology AAAI 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024