Li, Andrew

12 publications

ICLR 2025 EmbedLLM: Learning Compact Representations of Large Language Models Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran

AutoML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li

ICCV 2023 TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao

NeurIPS 2022 Dynamic Pricing with Monotonicity Constraint Under Unknown Parametric Demand Model Su Jia, Andrew Li, R Ravi

NeurIPS 2022 Learning to Follow Instructions in Text-Based Games Mathieu Tuli, Andrew Li, Pashootan Vaezipoor, Toryn Klassen, Scott Sanner, Sheila McIlraith

NeurIPS 2022 Markovian Interference in Experiments Vivek Farias, Andrew Li, Tianyi Peng, Andrew Zheng

AISTATS 2021 Causal Inference with Selectively Deconfounded Data Kyra Gan, Andrew Li, Zachary Lipton, Sridhar Tayur

AAAI 2021 Disposable Linear Bandits for Online Recommendations Melda Korkut, Andrew Li

NeurIPS 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing Kyra Gan, Su Jia, Andrew Li

NeurIPS 2021 Learning Treatment Effects in Panels with General Intervention Patterns Vivek Farias, Andrew Li, Tianyi Peng

CVPR 2021 Searching for Fast Model Families on Datacenter Accelerators Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi

PGM 2018 Bayesian Network Structure Learning with Side Constraints Andrew Li, Peter Beek