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cs.LG2020
Inferring Causal Direction from Observational Data: A Complexity Approach
Nikolaos Nikolaou, Konstantinos Sechidis
At the heart of causal structure learning from observational data lies a deceivingly simple question: given two statistically dependent random variables, which one has a causal eff…
cs.LG2020
Multi-target regression via output space quantization
Eleftherios Spyromitros-Xioufis, Konstantinos Sechidis, Ioannis Vlahavas
Multi-target regression is concerned with the prediction of multiple continuous target variables using a shared set of predictors. Two key challenges in multi-target regression are…