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, 巻35(9)
FLAML
Accelerating development of machine learning applications for engineers and data scientists
出版物
年別出版物
-
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
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023
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
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
-
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
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
MSR-TR-2022-29 | August 2022
Microsoft による投稿
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali, Chi Wang
MSR-TR-2022-28 | February 2022
Microsoft による投稿
-
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
Xueqing Liu, Chi Wang
ACL-IJCNLP 2021 | August 2021
ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
2021 International Conference on Machine Learning (ICML 2021) | July 2021
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
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
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
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
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
-
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
-
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
研究分野別論文
-
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, 巻35(9)
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
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali, Chi Wang
MSR-TR-2022-28 | February 2022
Microsoft による投稿
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
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
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
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
-
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
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023
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
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
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
MSR-TR-2022-29 | August 2022
Microsoft による投稿
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali, Chi Wang
MSR-TR-2022-28 | February 2022
Microsoft による投稿
ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
2021 International Conference on Machine Learning (ICML 2021) | July 2021
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
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
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
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
-
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
-
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
MSR-TR-2022-29 | August 2022
Microsoft による投稿
ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
2021 International Conference on Machine Learning (ICML 2021) | July 2021
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
-
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
Xueqing Liu, Chi Wang
ACL-IJCNLP 2021 | August 2021
-
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
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
種類別出版物
-
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, 巻35(9)
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
-
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
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023
-
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
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
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
Xueqing Liu, Chi Wang
ACL-IJCNLP 2021 | August 2021
ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
2021 International Conference on Machine Learning (ICML 2021) | July 2021
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
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
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
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
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) | February 2021
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
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
-
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang
MSR-TR-2022-29 | August 2022
Microsoft による投稿
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali, Chi Wang
MSR-TR-2022-28 | February 2022
Microsoft による投稿