2 citations · 4 across the 5 of their papers we have counts for
5 papers
Approximation Algorithms for Inventory Problems with Decomposable Submodular Ordering Costs
Retsef Levi, Georgia Perakis, Emily Zhang
This paper develops an approximation algorithm for the submodular joint replenishment problem (SJRP) under a broad family of decomposable submodular ordering cost functions. In the…
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…
Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment
Kevin Hu, Retsef Levi, Raphael Yahalom +1
This paper provides the first large-scale data-driven analysis to evaluate the predictive power of different attributes for assessing risk of cyberattack data breaches. Furthermore…
The Limits to Learning a Diffusion Model
Jackie Baek, Vivek F. Farias, Andreea Georgescu +5
This paper provides the first sample complexity lower bounds for the estimation of simple diffusion models, including the Bass model (used in modeling consumer adoption) and the SI…
Dynamic Allocation Problems in Loss Network Systems with Advanced Reservation
Retsef Levi, Cong Shi
We consider a class of well-known dynamic resource allocation models in loss network systems with advanced reservation. The most important performance measure in any loss network s…