Peng Cui

According to our database, Peng Cui authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Heterogeneous multi-task Gaussian Cox processes.

Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu

Mach. Learn., December, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

CoRR, 2023

Towards Accelerated Model Training via Bayesian Data Selection.

Zhijie Deng, Peng Cui, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural Eigenfunctions Are Structured Representation Learners.

Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu

CoRR, 2022

Confidence-based Reliable Learning under Dual Noises.

Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Accurate and Reliable Forecasting using Stochastic Differential Equations.

Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu

CoRR, 2021

2020

Calibrated Reliable Regression using Maximum Mean Discrepancy.

Peng Cui, Wenbo Hu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020