5 papers
Adversarial Causal Tuning for Realistic Time-series Generation
Nikolaos Gkorgkolis, Nikolaos Kougioulis, MingXue Wang +4
We address the problem of generating simulated, yet realistic, time-series data from a causal model with the same observational and interventional distributions as a given real dat…
Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
Dario Simionato, Andrea Tonon, Mingxue Wang +3
In streaming platforms churn is extremely costly, yet A/B tests are typically evaluated using outcomes observed within a limited experimental horizon. Even when both short- and pre…
Large Causal Models for Temporal Causal Discovery
Nikolaos Kougioulis, Nikolaos Gkorgkolis, MingXue Wang +4
Causal discovery for both cross-sectional and temporal data has traditionally followed a dataset-specific paradigm, where a new model is fitted for each individual dataset. Such an…
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
Andrea Tonon, Meng Zhang, Bora Caglayan +4
Root cause analysis is one of the most crucial operations in software reliability regarding system performance diagnostic. It aims to identify the root causes of system performance…
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations
Andrea Tonon, Bora Caglayan, MingXue Wang +3
In IT system operations, shell commands are common command line tools used by site reliability engineers (SREs) for daily tasks, such as system configuration, package deployment, a…