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

Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, Martin Takáč
Martin Takac

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

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Bin Gu

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

Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, Kun Zhang
Kun Zhang

Local differential Privacy for Belief Functions, Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu
Machine Learning Faculty Publications

Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, Kun Zhang
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

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

Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, 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

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Machine Learning Faculty Publications