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cs.LG2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi +2
We present an unsupervised method for aggregating anomalies in tabular datasets by identifying the top-k tabular data quality insights. Each insight consists of a set of anomalous…
cs.LG2020
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions
Ayush Chauhan, Aditya Anand, Shaddy Garg +2
Often, data contains only composite events composed of multiple events, some observed and some unobserved. For example, search ad click is observed by a brand, whereas which custom…