FLAML

Accelerating development of machine learning applications for engineers and data scientists

论文与出版物

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- Towards Lightweight and Automated Representation Learning System for Networks
  
  Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
  
  IEEE Transactions on Knowledge and Data Engineering | September 2023, 第 35 卷(9)
  
  Publication
- An Empirical Study on Challenging Math Problem Solving with GPT-4
  
  Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
  
  June 2023
  
  Publication Github 项目
- Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
  
  Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
  
  March 2023
  
  Publication Github Github 项目
- Automated Machine Learning to Evaluate the Information Content of Tropospheric Trace Gas Columns for Fine Particle Estimates Over India: A Modeling Testbed
  
  Zhonghua Zheng, Arlene M. Fiore, Daniel M. Westervelt, George P. Milly, Jeff Goldsmith, Alexandra Karambelas, Gabriele Curci, Cynthia A. Randles, Antonio R. Paiva, Chi Wang, Qingyun Wu, Sagnik Dey
  
  Journal of Advances in Modeling Earth Systems | March 2023
  
  DOI Github
- Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
  
  Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
  
  2023 International Conference on Learning Representations | March 2023
  
  Publication Github
- Automated Machine Learning & Tuning with FLAML
  
  Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) | August 2022
  
  Publication Github
- ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
  
  Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
  
  MSR-TR-2022-29 | August 2022
  
  作者：Microsoft
  
  Publication
- Mining Robust Default Configurations for Resource-constrained AutoML
  
  Moe Kayali, Chi Wang
  
  MSR-TR-2022-28 | February 2022
  
  作者：Microsoft
  
  Publication Github
- An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
  
  Xueqing Liu, Chi Wang
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Github
- ChaCha for Online AutoML
  
  Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
  
  2021 International Conference on Machine Learning (ICML 2021) | July 2021
  
  Publication 视频 Github
- LightNE: A Lightweight Graph Processing System for Network Embedding
  
  Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang
  
  Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021) | June 2021
  
  Publication
- DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
  
  Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- Economical Hyperparameter Optimization with Blended Search Strategy
  
  Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication Github
- FLAML: A Fast and Lightweight AutoML Library
  
  Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
  
  Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
  
  Publication 视频视频 Github
- Frugal Optimization for Cost-related Hyperparameters
  
  Qingyun Wu, Chi Wang, Silu Huang
  
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
  
  Author's Version Github
- AdaTune: Adaptive Tensor Program Compilation Made Efficient
  
  Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li
  
  34th Conference on Neural Information Processing Systems (NeurIPS 2020) | December 2020
  
  Author's Version
- Fast Approximation of Empirical Entropy via Subsampling
  
  Chi Wang, Bailu Ding
  
  25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
  
  DOI Author's Version 视频项目
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication 下载项目

- Towards Lightweight and Automated Representation Learning System for Networks
  
  Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
  
  IEEE Transactions on Knowledge and Data Engineering | September 2023, 第 35 卷(9)
  
  Publication
- Automated Machine Learning & Tuning with FLAML
  
  Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) | August 2022
  
  Publication Github
- Mining Robust Default Configurations for Resource-constrained AutoML
  
  Moe Kayali, Chi Wang
  
  MSR-TR-2022-28 | February 2022
  
  作者：Microsoft
  
  Publication Github
- LightNE: A Lightweight Graph Processing System for Network Embedding
  
  Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang
  
  Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021) | June 2021
  
  Publication
- Economical Hyperparameter Optimization with Blended Search Strategy
  
  Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication Github
- FLAML: A Fast and Lightweight AutoML Library
  
  Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
  
  Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
  
  Publication 视频视频 Github
- Fast Approximation of Empirical Entropy via Subsampling
  
  Chi Wang, Bailu Ding
  
  25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
  
  DOI Author's Version 视频项目
- An Empirical Study on Challenging Math Problem Solving with GPT-4
  
  Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
  
  June 2023
  
  Publication Github 项目
- Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
  
  Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
  
  March 2023
  
  Publication Github Github 项目
- Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
  
  Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
  
  2023 International Conference on Learning Representations | March 2023
  
  Publication Github
- Automated Machine Learning & Tuning with FLAML
  
  Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) | August 2022
  
  Publication Github
- ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
  
  Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
  
  MSR-TR-2022-29 | August 2022
  
  作者：Microsoft
  
  Publication
- Mining Robust Default Configurations for Resource-constrained AutoML
  
  Moe Kayali, Chi Wang
  
  MSR-TR-2022-28 | February 2022
  
  作者：Microsoft
  
  Publication Github
- ChaCha for Online AutoML
  
  Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
  
  2021 International Conference on Machine Learning (ICML 2021) | July 2021
  
  Publication 视频 Github
- DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
  
  Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- Economical Hyperparameter Optimization with Blended Search Strategy
  
  Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication Github
- FLAML: A Fast and Lightweight AutoML Library
  
  Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
  
  Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
  
  Publication 视频视频 Github
- Frugal Optimization for Cost-related Hyperparameters
  
  Qingyun Wu, Chi Wang, Silu Huang
  
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
  
  Author's Version Github
- AdaTune: Adaptive Tensor Program Compilation Made Efficient
  
  Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li
  
  34th Conference on Neural Information Processing Systems (NeurIPS 2020) | December 2020
  
  Author's Version
- Fast Approximation of Empirical Entropy via Subsampling
  
  Chi Wang, Bailu Ding
  
  25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
  
  DOI Author's Version 视频项目
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication 下载项目
- Automated Machine Learning to Evaluate the Information Content of Tropospheric Trace Gas Columns for Fine Particle Estimates Over India: A Modeling Testbed
  
  Zhonghua Zheng, Arlene M. Fiore, Daniel M. Westervelt, George P. Milly, Jeff Goldsmith, Alexandra Karambelas, Gabriele Curci, Cynthia A. Randles, Antonio R. Paiva, Chi Wang, Qingyun Wu, Sagnik Dey
  
  Journal of Advances in Modeling Earth Systems | March 2023
  
  DOI Github
- ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
  
  Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
  
  MSR-TR-2022-29 | August 2022
  
  作者：Microsoft
  
  Publication
- ChaCha for Online AutoML
  
  Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
  
  2021 International Conference on Machine Learning (ICML 2021) | July 2021
  
  Publication 视频 Github
- Frugal Optimization for Cost-related Hyperparameters
  
  Qingyun Wu, Chi Wang, Silu Huang
  
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
  
  Author's Version Github
- Fast Approximation of Empirical Entropy via Subsampling
  
  Chi Wang, Bailu Ding
  
  25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
  
  DOI Author's Version 视频项目
- An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
  
  Xueqing Liu, Chi Wang
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Github
- DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
  
  Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- AdaTune: Adaptive Tensor Program Compilation Made Efficient
  
  Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li
  
  34th Conference on Neural Information Processing Systems (NeurIPS 2020) | December 2020
  
  Author's Version

- Towards Lightweight and Automated Representation Learning System for Networks
  
  Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
  
  IEEE Transactions on Knowledge and Data Engineering | September 2023, 第 35 卷(9)
  
  Publication
- Automated Machine Learning to Evaluate the Information Content of Tropospheric Trace Gas Columns for Fine Particle Estimates Over India: A Modeling Testbed
  
  Zhonghua Zheng, Arlene M. Fiore, Daniel M. Westervelt, George P. Milly, Jeff Goldsmith, Alexandra Karambelas, Gabriele Curci, Cynthia A. Randles, Antonio R. Paiva, Chi Wang, Qingyun Wu, Sagnik Dey
  
  Journal of Advances in Modeling Earth Systems | March 2023
  
  DOI Github
- An Empirical Study on Challenging Math Problem Solving with GPT-4
  
  Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang (Eric) Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
  
  June 2023
  
  Publication Github 项目
- Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
  
  Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
  
  March 2023
  
  Publication Github Github 项目
- Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
  
  Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
  
  2023 International Conference on Learning Representations | March 2023
  
  Publication Github
- Automated Machine Learning & Tuning with FLAML
  
  Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) | August 2022
  
  Publication Github
- An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
  
  Xueqing Liu, Chi Wang
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Github
- ChaCha for Online AutoML
  
  Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
  
  2021 International Conference on Machine Learning (ICML 2021) | July 2021
  
  Publication 视频 Github
- LightNE: A Lightweight Graph Processing System for Network Embedding
  
  Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang
  
  Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021) | June 2021
  
  Publication
- DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
  
  Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- Economical Hyperparameter Optimization with Blended Search Strategy
  
  Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
  
  The Ninth International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication Github
- FLAML: A Fast and Lightweight AutoML Library
  
  Chi Wang, Qingyun Wu, Markus Weimer, Erkang (Eric) Zhu
  
  Fourth Conference on Machine Learning and Systems (MLSys 2021) | April 2021
  
  Publication 视频视频 Github
- Frugal Optimization for Cost-related Hyperparameters
  
  Qingyun Wu, Chi Wang, Silu Huang
  
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
  
  Author's Version Github
- AdaTune: Adaptive Tensor Program Compilation Made Efficient
  
  Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li
  
  34th Conference on Neural Information Processing Systems (NeurIPS 2020) | December 2020
  
  Author's Version
- Fast Approximation of Empirical Entropy via Subsampling
  
  Chi Wang, Bailu Ding
  
  25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
  
  DOI Author's Version 视频项目
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication 下载项目
- ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
  
  Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
  
  MSR-TR-2022-29 | August 2022
  
  作者：Microsoft
  
  Publication
- Mining Robust Default Configurations for Resource-constrained AutoML
  
  Moe Kayali, Chi Wang
  
  MSR-TR-2022-28 | February 2022
  
  作者：Microsoft
  
  Publication Github