Introducing the Robust Partial Wasserstein distance for better data comparison.
― 7 min read
Statistics - Machine Learning
RSSNew method enhances reliability of predictions by addressing uncertainty in machine learning.
― 7 min read
New methods for privacy-preserving collaboration in vertical federated learning.
― 5 min read
Exploring federated control in reinforcement learning for agents to work together securely.
― 6 min read
Leveraging external data for improved feature selection in genomic studies.
― 6 min read
Introducing a framework to quantify uncertainty in predictive models, especially in complex data spaces.
― 6 min read
Robust reinforcement learning adapts strategies for reliable outcomes despite real-world challenges.
― 5 min read
A new method enhances solution quality in medical imaging challenges.
― 6 min read
Understanding AI decision-making is crucial for trust and ethical use.
― 5 min read
Counterfactuals reveal insights but pose privacy risks in machine learning.
― 6 min read
Introducing a new approach for efficient sampling from complex distributions.
― 5 min read
Examining the role of deep learning in enhancing causal models.
― 7 min read
Exploring the role of randomized algorithms in simplifying complex data.
― 7 min read
Exploring how GMFGs model diverse interactions among agents in complex systems.
― 6 min read
New models improve predictions for machine life using deep learning.
― 5 min read
New methods enhance main task performance using auxiliary data without extra computation costs.
― 6 min read
A new filtering method tackles outliers for better data accuracy.
― 6 min read
This article examines how ReLU networks approximate low regularity functions.
― 6 min read
A new method for analyzing categorical data while ensuring privacy.
― 7 min read
A new method for estimating treatment effects using controlled trials and real-world data.
― 6 min read
Learn how CME and compression improve predictions from complex data.
― 6 min read
This work uncovers how various factors influence one another in complex systems.
― 5 min read
A method for building confidence regions in statistical equations for treatment effects.
― 6 min read
Improving DNN performance through efficient data sampling methods.
― 6 min read
A look into how Thompson Sampling helps decision-making under uncertainty.
― 5 min read
Introducing a new method for assessing data quality in machine learning.
― 8 min read
This study presents new algorithms for learning Bayesian networks using online learning techniques.
― 7 min read
This study examines how curiosity impacts exploration efficiency in artificial agents.
― 8 min read
A method to improve analysis of distributed, high-dimensional data in various fields.
― 6 min read
Introducing SGBD: a technique to improve Bayesian sampling efficiency.
― 7 min read
This article introduces methods to optimize evaluations considering switching costs in Bayesian Optimization.
― 5 min read
New methods improve Kalman filtering efficiency and uncertainty estimates in high-dimensional settings.
― 7 min read
New method enhances uncertainty quantification in adversarially trained models.
― 6 min read
A new method creates reliable prediction intervals using diverse data while ensuring privacy.
― 5 min read
Machine learning techniques advance the study of complex 3-manifolds and their triangulations.
― 6 min read
WGBoost offers advanced probabilistic predictions and better uncertainty handling in various fields.
― 5 min read
This paper discusses new insights in causal regression for better decision-making.
― 7 min read
Examining the saturation effect in Kernel Ridge Regression and its implications for predictions.
― 5 min read
A new approach to measuring fairness in college admissions and credit assessments.
― 6 min read
Understanding the complexities of evaluating single-treatment effects in factorial designs.
― 7 min read