Differentiable Causal Discovery from Interventional Data

3 Jul 2020Philippe BrouillardSébastien LachapelleAlexandre LacosteSimon Lacoste-JulienAlexandre Drouin

Discovering causal relationships in data is a challenging task that involves solving a combinatorial problem for which the solution is not always identifiable. A new line of work reformulates the combinatorial problem as a continuous constrained optimization one, enabling the use of different powerful optimization techniques... (read more)

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