2 citations · 2 across the 3 of their papers we have counts for
5 papers
Reducing Marketplace Interference Bias Via Shadow Prices
Ido Bright, Arthur Delarue, Ilan Lobel
Marketplace companies rely heavily on experimentation when making changes to the design or operation of their platforms. The workhorse of experimentation is the randomized controll…
Contextual Inverse Optimization: Offline and Online Learning
Omar Besbes, Yuri Fonseca, Ilan Lobel
We study the problems of offline and online contextual optimization with feedback information, where instead of observing the loss, we observe, after-the-fact, the optimal action a…
Multidimensional Binary Search for Contextual Decision-Making
Ilan Lobel, Renato Paes Leme, Adrian Vladu
We consider a multidimensional search problem that is motivated by questions in contextual decision-making, such as dynamic pricing and personalized medicine. Nature selects a stat…
Distributed Multi-Agent Optimization with State-Dependent Communication
Ilan Lobel, Asuman Ozdaglar, Diego Feijer
We study distributed algorithms for solving global optimization problems in which the objective function is the sum of local objective functions of agents and the constraint set is…
An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes
Sham M. Kakade, Ilan Lobel, Hamid Nazerzadeh
We consider the problem of revenue-optimal dynamic mechanism design in settings where agents' types evolve over time as a function of their (both public and private) experience wit…