Austin, TX
United States
University of Texas at Austin - McCombs School of Business
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stall economy, mobile retail, self-driving, rendezvous problem, spatial queues
cascading model, doubly adaptive, learning to rank, abandonment, bandits
dynamic attraction model, optimal pricing policy, click model, product availability
mobile retail, facility location, contextual bandits, continuous approximation, joint learning and optimization
pure exploration, information acquisition, transductive learning, short-form video platforms, recommender systems
reference effect, consumer heterogeneity, data-driven, intertemporal pricing, nonparametric estimation, online retailing
urban courier delivery, joint scheduling and pricing, data-driven distributionally robust optimization, maximum weighted coverage
active label acquisition, personalized incentive, assortment optimization, product selection
data-driven decision-making, contextual bandit, centralized and decentralized planners, greedy algorithm, collaborative decision-making
logistics, co-modality, ride-hailing, transportation
safe reinforcement learning, personalized medicine, regret analysis, contextual optimization
ghost kitchens, sharing-economy, fork-join queue, on-demand service, vehicle routing
data-driven assortment optimization, sequential decision making, choice model, bandit algorithm
continuous approximation, TSP, time-sensitive TSP, mobile retail
population synthesis, cellular data, Bayesian networks, structural learning, mixed integer programming, exponential random graph model, agent-based modeling, transportation simulation
Data acquisition, recommender system, design science, consumer network, machine learning
feature-based newsvendor, conformal prediction, data-driven decision-making, quantile regression, data quality and quantity
information presentation, deep learning, spatio-temporal learning, ordinary differential equations, delivery time prediction