1 citations · 1 across the 3 of their papers we have counts for
3 papers
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
Rares Cristian, Pavithra Harsha, Georgia Perakis +1
End-to-end learning has become a widely applicable and studied problem in training predictive ML models to be aware of their impact on downstream decision-making tasks. These end-t…
Inter-Series Transformer: Attending to Products in Time Series Forecasting
Rares Cristian, Pavithra Harsha, Clemente Ocejo +4
Time series forecasting is an important task in many fields ranging from supply chain management to weather forecasting. Recently, Transformer neural network architectures have sho…
Heterogeneous Treatment Effects in Panel Data
Retsef Levi, Elisabeth Paulson, Georgia Perakis +1
We address a core problem in causal inference: estimating heterogeneous treatment effects using panel data with general treatment patterns. Many existing methods either do not util…