:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shen, Yunyi, Berlinghieri, Renato, Broderick, Tamara
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Methodology
Accès en ligne:	https://arxiv.org/abs/2408.06277
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
par: Berlinghieri, Renato, et autres
Publié: (2025)

Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
par: Burt, David R., et autres
Publié: (2025)

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
par: Burt, David R., et autres
Publié: (2025)

Consistent Validation for Predictive Methods in Spatial Settings
par: Burt, David R., et autres
Publié: (2024)

Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
par: Berlinghieri, Renato, et autres
Publié: (2023)

Wild posteriors in the wild
par: Shen, Yunyi, et autres
Publié: (2025)

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
par: Giordano, Ryan, et autres
Publié: (2023)

Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations
par: Quintero, Manuel, et autres
Publié: (2025)

Do covariates explain why these groups differ? The choice of reference group can reverse conclusions in the Oaxaca-Blinder decomposition
par: Quintero, Manuel, et autres
Publié: (2026)

Are Hourly PM2.5 Forecasts Sufficiently Accurate to Plan Your Day? Individual Decision Making in the Face of Increasing Wildfire Smoke
par: Berlinghieri, Renato, et autres
Publié: (2024)

Double trouble: Predicting new variant counts across two heterogeneous populations
par: Shen, Yunyi, et autres
Publié: (2024)

ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting
par: Wang, Tingting, et autres
Publié: (2026)

Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
par: Huang, Jenny Y., et autres
Publié: (2025)

Approximations to worst-case data dropping: unmasking failure modes
par: Huang, Jenny Y., et autres
Publié: (2024)

On Statistical Inference for High-Dimensional Binary Time Series
par: Dai, Dehao, et autres
Publié: (2025)

Statistical Theory of Multi-stage Newton Iteration Algorithm for Online Continual Learning
par: Lu, Xinjia, et autres
Publié: (2025)

Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
par: Durant, Dalton, et autres
Publié: (2025)

Logistic-beta processes for dependent random probabilities with beta marginals
par: Lee, Changwoo J., et autres
Publié: (2024)

The Bayesian Infinitesimal Jackknife for Variance
par: Giordano, Ryan, et autres
Publié: (2023)

Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
par: Pion, Aurélien, et autres
Publié: (2025)

Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
par: Kündig, Pascal, et autres
Publié: (2023)

Composite Goodness-of-fit Tests with Kernels
par: Key, Oscar, et autres
Publié: (2021)

Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions
par: Shen, Xinwei, et autres
Publié: (2025)

Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments
par: Martin, Axel, et autres
Publié: (2024)

Coupling Generative Modeling and an Autoencoder with the Causal Bridge
par: Meng, Ruolin, et autres
Publié: (2025)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
par: Ma, Chen, et autres
Publié: (2026)

Robust Conformal Outlier Detection under Contaminated Reference Data
par: Bashari, Meshi, et autres
Publié: (2025)

Combining SHAP and Causal Analysis for Interpretable Fault Detection in Industrial Processes
par: Santos, Pedro Cortes dos, et autres
Publié: (2025)

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
par: Kim, Hwanwoo, et autres
Publié: (2025)

Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across Institutions
par: Chen, Yuan, et autres
Publié: (2024)

Learned harmonic mean estimation of the marginal likelihood with normalizing flows
par: Polanska, Alicja, et autres
Publié: (2023)

Tensor Decomposition with Unaligned Observations
par: Tang, Runshi, et autres
Publié: (2024)

Distributional Principal Autoencoders
par: Shen, Xinwei, et autres
Publié: (2024)

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
par: Wang, Caixing, et autres
Publié: (2024)

Conditional Data Synthesis Augmentation
par: Tian, Xinyu, et autres
Publié: (2025)

Engression: Extrapolation through the Lens of Distributional Regression
par: Shen, Xinwei, et autres
Publié: (2023)

High-Dimensional Independence Testing via Maximum and Average Distance Correlations
par: Shen, Cencheng, et autres
Publié: (2020)

Robust Iterative Learning Hidden Quantum Markov Models
par: Ning, Ning
Publié: (2025)

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
par: Fan, Qingliang, et autres
Publié: (2025)

Causality-oriented robustness: exploiting general noise interventions
par: Shen, Xinwei, et autres
Publié: (2023)