Part of the Applied Mathematics Commons

Works in Applied Mathematics

2022

Balanced Self-Paced Learning for AUC Maximization, Hang Dai
Hang Dai

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients, Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng
Machine Learning Faculty Publications

Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, Bin Gu
Machine Learning Faculty Publications

The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, Bin Gu
Bin Gu

The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, Bin Gu
Martin Takac

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takáč
Martin Takac

Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, Bin Gu
Bin Gu

Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov, Martin Takáč
Martin Takac

Graph Convolutional Network Aided Virtual Network Embedding for Internet of Thing, Mohsen Guizani, Haipeng Yao, Kaipeng Xue, Wenjing Zheng, Jingkai Yang, Tianle Mai
Mohsen Guizani

Classification-Aware Path Planning of Network of Robots, Guangyi Liu, Arash Amini, Martin Takac, Nader Motee
Machine Learning Faculty Publications

The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, Bin Gu
Machine Learning Faculty Publications

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2021

Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov, Martin Takáč
Machine Learning Faculty Publications

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takáč
Machine Learning Faculty Publications

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Heng Huang
Machine Learning Faculty Publications

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning, Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin
Machine Learning Faculty Publications

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng
Machine Learning Faculty Publications