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Found 8 papers, 4 papers with code
Time-Uniform Confidence Spheres for Means of Random Vectors
We derive and study time-uniform confidence spheres -- confidence sphere sequences (CSSs) -- which contain the mean of random vectors with high probability simultaneously across all sample sizes.
Auditing Fairness by Betting
Whereas previous work relies on a fixed-sample size, our methods are sequential and allow for the continuous monitoring of incoming data, making them highly amenable to tracking the fairness of real-world systems.
A unified recipe for deriving (time-uniform) PAC-Bayes bounds
We present a unified framework for deriving PAC-Bayesian generalization bounds.
Entropy Regularization for Population Estimation
Entropy regularization is known to improve exploration in sequential decision-making problems.
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act
We show that this system effectively appears to detect land application (PR AUC = 0. 93) and we uncover several outlier facilities which appear to apply regularly and excessively.
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
This approach has the potential to improve audit efficacy, while maintaining policy-relevant estimates of the tax gap.
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
In many public health settings, there is a perceived tension between allocating resources to known vulnerable areas and learning about the overall prevalence of the problem.
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections.
