4 papers · 1 filter
Optimization of Epsilon-Greedy Exploration
Ethan Che, Hakan Ceylan, James McInerney +1
Modern recommendation systems rely on exploration to learn user preferences for new items, typically implementing uniform exploration policies (e.g., epsilon-greedy) due to their s…
Optimization-Driven Adaptive Experimentation
Ethan Che, Daniel R. Jiang, Hongseok Namkoong +1
Real-world experiments involve batched & delayed feedback, non-stationarity, multiple objectives & constraints, and (often some) personalization. Tailoring adaptive methods to addr…
Differentiable Discrete Event Simulation for Queuing Network Control
Ethan Che, Jing Dong, Hongseok Namkoong
Queuing network control is essential for managing congestion in job-processing systems such as service systems, communication networks, and manufacturing processes. Despite growing…
AExGym: Benchmarks and Environments for Adaptive Experimentation
Jimmy Wang, Ethan Che, Daniel R. Jiang +1
Innovations across science and industry are evaluated using randomized trials (a.k.a. A/B tests). While simple and robust, such static designs are inefficient or infeasible for tes…