24 citations · 118 across the 50 of their papers we have counts for
4 papers · 1 filter
Optimizing Revenue over Data-driven Assortments
Deeksha Sinha, Theja Tulabandhula
We revisit the problem of large-scale assortment optimization under the multinomial logit choice model without any assumptions on the structure of the feasible assortments. Scalabl…
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula +3
This paper provides efficient solutions to maximize profit for commercial ridesharing services, under a pricing model with detour-based discounts for passengers. We propose greedy…
Robust Optimization using Machine Learning for Uncertainty Sets
Theja Tulabandhula, Cynthia Rudin
Our goal is to build robust optimization problems for making decisions based on complex data from the past. In robust optimization (RO) generally, the goal is to create a policy fo…
On Combining Machine Learning with Decision Making
Theja Tulabandhula, Cynthia Rudin
We present a new application and covering number bound for the framework of "Machine Learning with Operational Costs (MLOC)," which is an exploratory form of decision theory. The M…