:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ciganda, Daniel, Campón, Ignacio, Permanyer, Iñaki, Macke, Jakob H
Format:	Preprint
Published:	2025
Subjects:	Applications Machine Learning
Online Access:	https://arxiv.org/abs/2506.22607
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Anticipating Continued Global Fertility Decline via Neural Forecasting
by: Ciganda, Daniel, et al.
Published: (2026)

A Bayesian Regression Approach for Estimating the Impact of COVID-19 on Consumer Behavior in the Restaurant Industry
by: Hinduja, H., et al.
Published: (2024)

Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
by: Bai, Yanbing, et al.
Published: (2024)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)

Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
by: Miller, Elizabeth W., et al.
Published: (2026)

Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
by: Okhrati, Ramin
Published: (2024)

Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
by: Longjohn, Rachel, et al.
Published: (2025)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Manifold Dimension Estimation via Local Graph Structure
by: Bi, Zelong, et al.
Published: (2025)

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)

DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
by: Song, Youngjun, et al.
Published: (2025)

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
by: Zhang, Chengyuan, et al.
Published: (2024)

A Biased Estimator for MinMax Sampling and Distributed Aggregation
by: Wolfrath, Joel, et al.
Published: (2024)

Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026)

Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
by: Jiao, Jianfeng, et al.
Published: (2025)

Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
by: Schwerter, Jakob, et al.
Published: (2024)

Transportation Marketplace Rate Forecast Using Signature Transform
by: Gu, Haotian, et al.
Published: (2024)

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

Enforcing tail calibration when training probabilistic forecast models
by: Wessel, Jakob Benjamin, et al.
Published: (2025)

Forecasting the future development in quality and value of professional football players
by: van Arem, Koen W., et al.
Published: (2025)

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)

Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024)

A State-Space Perspective on Modelling and Inference for Online Skill Rating
by: Duffield, Samuel, et al.
Published: (2023)

Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
by: Hirschi, Jonathon, et al.
Published: (2026)

Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)

EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
by: Stockman, Samuel, et al.
Published: (2024)

dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models
by: Wan, Zhengyan, et al.
Published: (2026)

Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
by: Schwerter, Jakob, et al.
Published: (2024)

Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
by: Wessel, Jakob Benjamin, et al.
Published: (2024)

GROS: A General Robust Aggregation Strategy
by: Cholaquidis, Alejandro, et al.
Published: (2024)

It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms
by: Kang, Keegan, et al.
Published: (2026)

Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
by: Kashyap, Sahil, et al.
Published: (2025)

Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
by: Agyemang, Edmund, et al.
Published: (2025)

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
by: Gutman, Rom, et al.
Published: (2025)

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025)

From Chain-Ladder to Individual Claims Reserving
by: Richman, Ronald, et al.
Published: (2026)

Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
by: Wu, Fan, et al.
Published: (2023)

Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data
by: Yao, Ying, et al.
Published: (2025)

Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
by: Nguyen, Tung L, et al.
Published: (2025)