most citedAdaptive Model Selection Framework: An Application to Airline Pricing

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.NE2019

Short and Wide Network Paths

Lavanya Marla, Lav R. Varshney, Devavrat Shah +2

Network flow is a powerful mathematical framework to systematically explore the relationship between structure and function in biological, social, and technological networks. We in…

cs.LG2019

How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?

Akhil Gupta, Naman Shukla, Lavanya Marla +2

The importance of domain knowledge in enhancing model performance and making reliable predictions in the real-world is critical. This has led to an increased focus on specific mode…

cs.LG20193 cited

Adaptive Model Selection Framework: An Application to Airline Pricing

Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla +1

Multiple machine learning and prediction models are often used for the same prediction or recommendation task. In our recent work, where we develop and deploy airline ancillary pri…

stat.ML2019

Dynamic Pricing for Airline Ancillaries with Customer Context

Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell +2

Ancillaries have become a major source of revenue and profitability in the travel industry. Yet, conventional pricing strategies are based on business rules that are poorly optimiz…

math.OC2016

Vehicle Routing Problem with Time Windows: A Deterministic Annealing approach

Mayank Baranwal, Pratik M. Parekh, Lavanya Marla +2

The Vehicle Routing Problem with Time-Windows (VRPTW) is an important problem in allocating resources on networks in time and space. We present in this paper a Deterministic Anneal…