Robustly Optimal Auction Design under Mean Constraints. - Ethan Che (EC, 2022)

Adaptive Experimentation at Scale: Bayesian Algorithms for Flexible Batches. - Ethan Che; Hongseok Namkoong (CoRR, 2023)

QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. - Haozhe Chen; Ang Li; Ethan Che; Jing Dong; Tianyi Peng; Hongseok Namkoong (NeurIPS, 2024)

AExGym: Benchmarks and Environments for Adaptive Experimentation. - Jimmy Wang; Ethan Che; Daniel R. Jiang; Hongseok Namkoong (CoRR, 2024)

Mathematical Programming For Adaptive Experiments. - Ethan Che; Daniel R. Jiang; Hongseok Namkoong; Jimmy Wang (CoRR, 2024)

Differentiable Discrete Event Simulation for Queuing Network Control. - Ethan Che; Jing Dong; Hongseok Namkoong (CoRR, 2024)

Stochastic Gradient Descent with Adaptive Data. - Ethan Che; Jing Dong; Xin T. Tong (CoRR, 2024)

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach. - Ayeong Lee; Ethan Che; Tianyi Peng (CoRR, 2025)

Optimization of Epsilon-Greedy Exploration. - Ethan Che; Hakan Ceylan; James McInerney; Nathan Kallus (CoRR, 2025)