82 citations · 168 across the 21 of their papers we have counts for
3 papers · 1 filter
It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
Reza Belbasi, Aras Selvi, Wolfram Wiesemann
Problem definition: A key challenge in supervised learning is data scarcity, which can cause prediction models to overfit to the training data and perform poorly out of sample. A c…
Streamlining Energy Transition Scenarios to Key Policy Decisions
Florian Joseph Baader, Stefano Moret, Wolfram Wiesemann +2
Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternati…
Differential Privacy via Distributionally Robust Optimization
Aras Selvi, Huikang Liu, Wolfram Wiesemann
In recent years, differential privacy has emerged as the de facto standard for sharing statistics of datasets while limiting the disclosure of private information about the involve…