1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.DB2026★ 1 cited
Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation
Pratanu Mandal, Abhinav Gorantla, K. Selçuk Candan +1
Skyline queries are popular and effective tools in multi-criteria decision support as they extract interesting (pareto-optimal) points that help summarize the available data with r…
cs.LG2024
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
Ahmet Kapkiç, Pratanu Mandal, Shu Wan +5
While witnessing the exceptional success of machine learning (ML) technologies in many applications, users are starting to notice a critical shortcoming of ML: correlation is a poo…