Real-Time Personalization with Simple Transformers.
CoRR, March, 2025
Multi-Armed Bandits with Endogenous Learning Curves: An Application to Split Liver Transplantation.
Manuf. Serv. Oper. Manag., 2025
The Nonstationary Newsvendor with (and Without) Predictions.
Manuf. Serv. Oper. Manag., 2025
Fixing Inventory Inaccuracies at Scale.
Manuf. Serv. Oper. Manag., 2024
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model.
CoRR, 2024
Short-lived High-volume Multi-A(rmed)/B(andits) Testing.
CoRR, 2023
Markdown Pricing Under an Unknown Parametric Demand Model.
CoRR, 2023
Modeling Choice via Self-Attention.
CoRR, 2023
Short-lived High-volume Bandits.
Proceedings of the International Conference on Machine Learning, 2023
Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Markovian Interference in Experiments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Approximation Algorithms for Active Sequential Hypothesis Testing.
CoRR, 2021
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learning Treatment Effects in Panels with General Intervention Patterns.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise.
Proceedings of the 38th International Conference on Machine Learning, 2021
Causal Inference with Selectively Deconfounded Data.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection.
CoRR, 2020
Optimizing Offer Sets in Sub-Linear Time.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
Learning Preferences with Side Information.
Manag. Sci., 2019
Optimal Recovery of Tensor Slices.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Approximate blocking probabilities in loss models with independence and distribution assumptions relaxed.
Perform. Evaluation, 2014
Ordered multiplicity lists for eigenvalues of symmetric matrices whose graph is a linear tree.
Discret. Math., 2014