A method to enhance machine learning models dealing with corrupted data.
― 5 min read
Statistics - Machine Learning
RSSA look into managing inventory when demand is unpredictable.
― 5 min read
Strategies for making smarter choices under uncertain conditions.
― 5 min read
Improving Q-learning performance amid corrupted feedback in real-world applications.
― 6 min read
A look at decision-making in dynamic environments using restless bandit strategies.
― 6 min read
This article discusses how combining methods improves operator learning effectiveness.
― 6 min read
Analyzing treatment effects of a literacy program with new methods and data insights.
― 6 min read
A new approach improves neural network training speed and efficiency using nowcasting.
― 4 min read
Learn how data shapes algorithm performance through tuning and real-time adaptation.
― 6 min read
Machine learning improves the production and accuracy of official statistics.
― 5 min read
A new method enhances learning by integrating expert knowledge for improved estimates.
― 5 min read
Combining deep learning with Bayesian inference for efficient posterior estimation.
― 5 min read
New methods enhance efficiency in sampling log-concave distributions within polytopes.
― 5 min read
A new method improves uncertainty quantification for graph data predictions.
― 7 min read
A study on using calibration methods to enhance causal inference in machine learning.
― 4 min read
A look into effective dimension and its impact on model training.
― 6 min read
This paper discusses fairness in selecting candidates for institutions amid biased evaluations.
― 7 min read
New models improve understanding of evolutionary relationships among species.
― 6 min read
This research explores efficient learning of Markov Random Fields using dynamic samples.
― 6 min read
Bayesian neural networks improve predictions by accounting for uncertainty and integrating prior knowledge.
― 6 min read
This study examines how specific trade traits forecast future market prices.
― 5 min read
This article discusses how Sliding-Window Thompson Sampling addresses decision-making in shifting environments.
― 4 min read
Introducing an efficient way to estimate variance in ever-changing systems.
― 6 min read
This method helps researchers find efficient designs in complex problem spaces.
― 5 min read
A new method improves task affinity estimation for multitask learning.
― 6 min read
This approach simplifies choosing effective pretraining datasets for language models.
― 8 min read
This study shows how response times can enhance understanding of user preferences.
― 6 min read
Examining the accuracy issues in large language models and their societal effects.
― 6 min read
This research evaluates a new model for estimating treatment effects in individuals.
― 7 min read
Enhancing Naive Bayes model accuracy using optimal data projections.
― 6 min read
Examining strategies for improving feature learning in imbalanced datasets.
― 7 min read
Exploring the effectiveness and questions surrounding recurrent neural networks in sequential data processing.
― 6 min read
A new algorithm improves efficiency in Bayesian experimental design.
― 5 min read
This study examines how machine learning can improve rainfall forecasts in East Africa.
― 5 min read
A study on advanced techniques for better uncertainty analysis in seismic exploration.
― 9 min read
Explore how partitioned networks help us understand various complex relationships.
― 5 min read
This work presents methods for analyzing causal functions in complex clustered data.
― 5 min read
Explore the privacy concerns surrounding membership inference attacks in machine learning.
― 5 min read
A look into methods for identifying potential new particles in particle physics.
― 6 min read
Combining time-series and perturbation data improves understanding of cellular networks.
― 8 min read