most citedLearning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework

3 citations · 3 across the 3 of their papers we have counts for

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stat.ML2020

FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints

Souradip Chakraborty, Ekansh Verma, Saswata Sahoo +1

Representation Learning in a heterogeneous space with mixed variables of numerical and categorical types has interesting challenges due to its complex feature manifold. Moreover, f…

stat.ML2020

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type

Saswata Sahoo, Souradip Chakraborty

Feature learning in the presence of a mixed type of variables, numerical and categorical types, is an important issue for related modeling problems. For simple neighborhood queries…