Andrew A. Li - RankMe

28 papers A* 7A 3Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Armed Bandits with Endogenous Learning Curves: An Application to Split Liver Transplantation. Manuf. Serv. Oper. Manag. Yanhan (Savannah) Tang, Andrew A. Li, Alan Scheller-Wolf, Sridhar Tayur
2025	J	`jnl`	Real-Time Personalization with Simple Transformers. CoRR Lin An, Andrew A. Li, Vaisnavi Nemala, Gabriel Visotsky
2025	J	`jnl`	The Nonstationary Newsvendor with (and Without) Predictions. Manuf. Serv. Oper. Manag. Lin An, Andrew A. Li, Benjamin Moseley, R. Ravi
2024	J	`jnl`	Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model. CoRR Lin An, Andrew A. Li, Benjamin Moseley, Gabriel Visotsky
2024	J	`jnl`	Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. Vivek F. Farias, Andrew A. Li, Tianyi Peng
2023	J	`jnl`	Markdown Pricing Under an Unknown Parametric Demand Model. CoRR Su Jia, Andrew A. Li, R. Ravi
2023	J	`jnl`	Modeling Choice via Self-Attention. CoRR Joohwan Ko, Andrew A. Li
2023	A*	`conf`	Short-lived High-volume Bandits. ICML Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A. Li, R. Ravi
2023	J	`jnl`	Short-lived High-volume Multi-A(rmed)/B(andits) Testing. CoRR Su Jia, Andrew A. Li, R. Ravi, Nishant Oli, Paul Duff, Ian Anderson
2022	A*	`conf`	Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model. NeurIPS Su Jia, Andrew A. Li, R. Ravi
2022	A*	`conf`	Markovian Interference in Experiments. NeurIPS Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022	J	`jnl`	Markovian Interference in Experiments. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022	A	`conf`	Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	J	`jnl`	Approximation Algorithms for Active Sequential Hypothesis Testing. CoRR Kyra Gan, Su Jia, Andrew A. Li
2021	A	`conf`	Causal Inference with Selectively Deconfounded Data. AISTATS Kyra Gan, Andrew A. Li, Zachary Chase Lipton, Sridhar R. Tayur
2021	A*	`conf`	Greedy Approximation Algorithms for Active Sequential Hypothesis Testing. NeurIPS Kyra Gan, Su Jia, Andrew A. Li
2021	A*	`conf`	Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	J	`jnl`	Learning Treatment Effects in Panels with General Intervention Patterns. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	A*	`conf`	Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML Vivek F. Farias, Andrew A. Li, Tianyi Peng
2021	J	`jnl`	Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2020	J	`jnl`	Causal Inference With Selectively-Deconfounded Data. CoRR Kyra Gan, Andrew A. Li, Zachary C. Lipton, Sridhar R. Tayur
2020	A*	`conf`	Optimizing Offer Sets in Sub-Linear Time. EC Vivek F. Farias, Andrew A. Li, Deeksha Sinha
2020	J	`jnl`	Optimizing Offer Sets in Sub-Linear Time. CoRR Vivek F. Farias, Andrew A. Li, Deeksha Sinha
2020	J	`jnl`	Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR Vivek F. Farias, Andrew A. Li, Tianyi Peng
2019	J	`jnl`	Learning Preferences with Side Information. Manag. Sci. Vivek F. Farias, Andrew A. Li
2017	A	`conf`	Optimal Recovery of Tensor Slices. AISTATS Vivek F. Farias, Andrew A. Li
2014	J	`jnl`	Approximate blocking probabilities in loss models with independence and distribution assumptions relaxed. Perform. Evaluation Andrew A. Li, Ward Whitt
2014	J	`jnl`	Ordered multiplicity lists for eigenvalues of symmetric matrices whose graph is a linear tree. Discret. Math. Charles R. Johnson, Andrew A. Li, Andrew J. Walker