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08/30/2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
Bandit algorithms have become a reference solution for interactive recom...
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05/29/2022
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage
Uncertainty quantification is crucial for assessing the predictive abili...
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07/08/2021
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification
Many areas of science make extensive use of computer simulators that imp...
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07/07/2021
MD-split+: Practical Local Conformal Inference in High Dimensions
Quantifying uncertainty in model predictions is a common goal for practi...
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02/20/2021
Validating Conditional Density Models and Bayesian Inference Algorithms
Conditional density models f(y|x), where x represents a potentially high...
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12/04/2019
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Bandwidth estimation and congestion control for real-time communications...
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11/26/2019
Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines
Few assets in financial history have been as notoriously volatile as cry...
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07/11/2019
Provenance for Large-scale Datalog
Logic programming languages such as Datalog have become popular as Domai...
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10/30/2018
