1 citations · 1 across the 6 of their papers we have counts for
5 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…
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…
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…
Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches
Ethan Che, Hongseok Namkoong
Standard bandit algorithms that assume continual reallocation of measurement effort are challenging to implement due to delayed feedback and infrastructural/organizational difficul…