Chengrun Yang

According to our database1, Chengrun Yang authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Long-form factuality in large language models.
CoRR, 2024

Large Language Models as Optimizers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.
Trans. Mach. Learn. Res., 2023

2022
Resource-Constrained Neural Architecture Search on Tabular Datasets.
CoRR, 2022

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Low Can We Go: Trading Memory for Error in Low-Precision Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering.
IEEE Trans. Signal Process., 2021

Multi-Objective Net Architecture Pruning for Remote Sensing Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization.
CoRR, 2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.
CoRR, 2020

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
OBOE: Collaborative Filtering for AutoML Model Selection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
OBOE: Collaborative Filtering for AutoML Initialization.
CoRR, 2018


  Loading...