2 citations · 3 across the 3 of their papers we have counts for
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stat.ML2024★ 2 cited
Causal Forecasting for Pricing
Douglas Schultz, Johannes Stephan, Julian Sieber +4
This paper proposes a novel method for demand forecasting in a pricing context. Here, modeling the causal relationship between price as an input variable to demand is crucial becau…
stat.ML2022
Quantitative Universal Approximation Bounds for Deep Belief Networks
Julian Sieber, Johann Gehringer
We show that deep belief networks with binary hidden units can approximate any multivariate probability density under very mild integrability requirements on the parental density o…