Mingrui Liu

发表

Stochastic Non-convex Optimization with Strong High Probability Second-order Convergence pdf

Mingrui Liu, Tianbao Yang, 2017, ArXiv.

The Cop Number of Graphs with Forbidden Induced Subgraphs pdf

Mingrui Liu, 2019, ArXiv.

Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization

Mingrui Liu, Tianbao Yang, Xun Zhou, 2018, NeurIPS.

Improved Schemes for Episodic Memory-based Lifelong Learning

Mingrui Liu, Tianbao Yang, Tajana Simunic, 2020, NeurIPS.

The game of Cops and Robbers on directed graphs with forbidden subgraphs pdf

Mingrui Liu, 2020, ArXiv.

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient pdf

Mingrui Liu, Tianbao Yang, Tajana Simunic, 2019, ArXiv.

Decentralized Parallel Algorithm for Training Generative Adversarial Nets pdf

Mingrui Liu, Tianbao Yang, Wei Zhang, 2020, NeurIPS.

Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions

Mingrui Liu, Tianbao Yang, Xiaoxuan Zhang, 2018, NeurIPS.

Adam+: A Stochastic Method with Adaptive Variance Reduction pdf

Mingrui Liu, Tianbao Yang, Wei Zhang, 2020, ArXiv.

Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning pdf

Mingrui Liu, Tianbao Yang, Qihang Lin, 2018, ArXiv.

IntLIM: integration using linear models of metabolomics and gene expression data

Mingrui Liu, Bofei Zhang, Kevin R. Coombes, 2018, BMC Bioinformatics.

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks pdf

Mingrui Liu, Tianbao Yang, Wei Liu, 2020, ICML.

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization

Jinfeng Yi, Mingrui Liu, Tianbao Yang, 2018, NeurIPS.

Stochastic AUC Maximization with Deep Neural Networks pdf

Mingrui Liu, Tianbao Yang, Yiming Ying, 2019, ICLR.

A Blackboard Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System

Mingrui Liu, Bowen Yang, He Wang, 2019, ML4CS.

Improving Efficiency in Large-Scale Decentralized Distributed Training

Brian Kingsbury, George Saon, Michael Picheny, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate

Mingrui Liu, Tianbao Yang, Xiaoyu Wang, 2018, ICML.

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets pdf

Mingrui Liu, Tianbao Yang, Wei Zhang, 2019, ICLR.

ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization

Mingrui Liu, Tianbao Yang, Yi Xu, 2017, NIPS.

Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition

Mingrui Liu, Tianbao Yang, Mingrui Liu, 2016, NIPS.

A Parameter-free Algorithm for Convex-concave Min-max Problems pdf

Mingrui Liu, Francesco Orabona, Mingrui Liu, 2021, ArXiv.

On the Last Iterate Convergence of Momentum Methods pdf

Mingrui Liu, Francesco Orabona, Xiaoyu Li, 2021, ArXiv.

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent pdf

Brian Kingsbury, Mingrui Liu, Wei Zhang, 2021, ArXiv.

Asynchronous Decentralized Distributed Training of Acoustic Models

Brian Kingsbury, George Saon, Mingrui Liu, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets pdf

Xiaodong Cui, Mingrui Liu, Tianbao Yang, 2020, ICLR.