activity
20152023
most citedPersonalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 4 cited

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

Rui Miao, Zhengling Qi, Cong Shi +1

Pricing based on individual customer characteristics is widely used to maximize sellers' revenues. This work studies offline personalized pricing under endogeneity using an instrum…

cs.LG2023★ 1 cited

PASTA: Pessimistic Assortment Optimization

Juncheng Dong, Weibin Mo, Zhengling Qi +3

We consider a class of assortment optimization problems in an offline data-driven setting. A firm does not know the underlying customer choice model but has access to an offline da…

cs.RO2022

Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task

Shreyas Bhat, Joseph B. Lyons, Cong Shi +1

In this paper, we present a framework for trust-aware sequential decision-making in a human-robot team. We model the problem as a finite-horizon Markov Decision Process with a rewa…

math.PR2015★ 2 cited

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…

cs.DS2015★ 1 cited

Approximation Algorithms for Inventory Problems with Submodular or Routing Costs

Viswanath Nagarajan, Cong Shi

We consider the following two deterministic inventory optimization problems over a finite planning horizon with non-stationary demands. (a) Submodular Joint Replenishment Probl…