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07/27/2023
Towards Practicable Sequential Shift Detectors
There is a growing awareness of the harmful effects of distribution shif...
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10/26/2022
Desiderata for next generation of ML model serving
Inference is a significant part of ML software infrastructure. Despite t...
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03/16/2022
Context-Aware Drift Detection
When monitoring machine learning systems, two-sample tests of homogeneit...
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08/02/2021
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Responding appropriately to the detections of a sequential change detect...
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06/04/2021
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
Counterfactual instances are a powerful tool to obtain valuable insights...
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01/25/2021
Conditional Generative Models for Counterfactual Explanations
Counterfactual instances offer human-interpretable insight into the loca...
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07/13/2020
Monitoring and explainability of models in production
The machine learning lifecycle extends beyond the deployment stage. Moni...
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02/21/2020
Adversarial Detection and Correction by Matching Prediction Distributions
We present a novel adversarial detection and correction method for machi...
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07/03/2019
