Follow
Luke Lequn Wang
Luke Lequn Wang
Netflix, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Resource aware person re-identification across multiple resolutions
Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3162018
Cab: Continuous adaptive blending for policy evaluation and learning
Y Su, L Wang, M Santacatterina, T Joachims
International Conference on Machine Learning (ICML), 6005-6014, 2019
802019
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets
L Wang, T Joachims
International Conference on Theory of Information Retrieval (ICTIR), 23-41, 2021
672021
Fairness of Exposure in Stochastic Bandits
L Wang, Y Bai, W Sun, T Joachims
International Conference on Machine Learning (ICML), 10686-10696, 2021
492021
Improving Expert Predictions with Conformal Prediction
E Straitouri, L Wang, N Okati, MG Rodriguez
International Conference on Machine Learning (ICML), 2023
41*2023
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
L Wang, T Joachims
ACM Conference on Web Search and Data Mining (WSDM), 2023
27*2023
Improving Screening Processes via Calibrated Subset Selection
L Wang, T Joachims, MG Rodriguez
International Conference on Machine Learning (ICML), 2022
192022
Recommendations as treatments
T Joachims, B London, Y Su, A Swaminathan, L Wang
AI Magazine 42 (3), 19-30, 2021
192021
Batch learning from bandit feedback through bias corrected reward imputation
L Wang, Y Bai, A Bhalla, T Joachims
ICML Workshop on Real-World Sequential Decision Making, 2019
122019
Off-policy evaluation for large action spaces via policy convolution
N Sachdeva, L Wang, D Liang, N Kallus, J McAuley
Proceedings of the ACM on Web Conference 2024, 3576-3585, 2024
92024
Oracle-efficient pessimism: Offline policy optimization in contextual bandits
L Wang, A Krishnamurthy, A Slivkins
International Conference on Artificial Intelligence and Statistics, 766-774, 2024
72024
Fastfusionnet: New state-of-the-art for dawnbench squad
F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger
arXiv preprint arXiv:1902.11291, 2019
72019
Integrated triaging for fast reading comprehension
F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger
arXiv preprint arXiv:1909.13128, 2019
62019
Improving expert predictions with prediction sets
E Straitouri, L Wang, N Okati, MG Rodriguez
arXiv preprint arXiv:2201.12006, 2022
22022
Cost-sensitive learning via deep policy erm
L Wang, Q Xu, C De Sa, T Joachims
12018
Fairness of Exposure in Machine Learning for Selection Processes
L Wang
Cornell University, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–16