Andrew A. Li

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fixing Inventory Inaccuracies at Scale.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Manuf. Serv. Oper. Manag., 2024

Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model.

Lin An, Andrew A. Li, Benjamin Moseley, Gabriel Visotsky

CoRR, 2024

2023

Short-lived High-volume Multi-A(rmed)/B(andits) Testing.

Su Jia, Andrew A. Li, R. Ravi, Nishant Oli, Paul Duff, Ian Anderson

CoRR, 2023

Markdown Pricing Under an Unknown Parametric Demand Model.

Su Jia, Andrew A. Li, R. Ravi

CoRR, 2023

Modeling Choice via Self-Attention.

Joohwan Ko, Andrew A. Li

CoRR, 2023

Short-lived High-volume Bandits.

Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A. Li, R. Ravi

Proceedings of the International Conference on Machine Learning, 2023

2022

Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model.

Su Jia, Andrew A. Li, R. Ravi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Markovian Interference in Experiments.

Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng

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.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Approximation Algorithms for Active Sequential Hypothesis Testing.

Kyra Gan, Su Jia, Andrew A. Li

CoRR, 2021

Greedy Approximation Algorithms for Active Sequential Hypothesis Testing.

Kyra Gan, Su Jia, Andrew A. Li

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.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

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.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

Proceedings of the 38th International Conference on Machine Learning, 2021

Causal Inference with Selectively Deconfounded Data.

Kyra Gan, Andrew A. Li, Zachary Chase Lipton, Sridhar R. Tayur

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection.

Vivek F. Farias, Andrew A. Li, Tianyi Peng

CoRR, 2020

Optimizing Offer Sets in Sub-Linear Time.

Vivek F. Farias, Andrew A. Li, Deeksha Sinha

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

2019

Learning Preferences with Side Information.

Vivek F. Farias, Andrew A. Li

Manag. Sci., 2019

2017

Optimal Recovery of Tensor Slices.

Vivek F. Farias, Andrew A. Li

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.

Andrew A. Li, Ward Whitt

Perform. Evaluation, 2014

Ordered multiplicity lists for eigenvalues of symmetric matrices whose graph is a linear tree.

Charles R. Johnson, Andrew A. Li, Andrew J. Walker

Discret. Math., 2014