Andrew A. Li

Orcid: 0000-0002-9552-6421

According to our database1, Andrew A. Li authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
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

2023
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

2022
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

2021
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

2020
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

2019
Learning Preferences with Side Information.
Manag. Sci., 2019

2017
Optimal Recovery of Tensor Slices.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014
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


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