Alert button
Picture for Tong Zhang

Tong Zhang

Alert button

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator

Oct 17, 2018
Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang

Figure 1 for SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Figure 2 for SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Viaarxiv icon

Fully Implicit Online Learning

Oct 14, 2018
Chaobing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang

Figure 1 for Fully Implicit Online Learning
Figure 2 for Fully Implicit Online Learning
Viaarxiv icon

Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry

Oct 12, 2018
Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang

Figure 1 for Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Figure 2 for Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Figure 3 for Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Figure 4 for Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Viaarxiv icon

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Oct 10, 2018
Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu

Figure 1 for Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Figure 2 for Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Figure 3 for Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Figure 4 for Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Viaarxiv icon

Communication Compression for Decentralized Training

Sep 27, 2018
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu

Figure 1 for Communication Compression for Decentralized Training
Figure 2 for Communication Compression for Decentralized Training
Figure 3 for Communication Compression for Decentralized Training
Figure 4 for Communication Compression for Decentralized Training
Viaarxiv icon

A convex formulation for high-dimensional sparse sliced inverse regression

Sep 17, 2018
Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook

Figure 1 for A convex formulation for high-dimensional sparse sliced inverse regression
Figure 2 for A convex formulation for high-dimensional sparse sliced inverse regression
Viaarxiv icon

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression

Sep 13, 2018
Lei Han, Kean Ming Tan, Ting Yang, Tong Zhang

Figure 1 for Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression
Figure 2 for Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression
Figure 3 for Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression
Figure 4 for Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression
Viaarxiv icon

Candidates vs. Noises Estimation for Large Multi-Class Classification Problem

Sep 13, 2018
Lei Han, Yiheng Huang, Tong Zhang

Figure 1 for Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Figure 2 for Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Figure 3 for Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Figure 4 for Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Viaarxiv icon

Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow

Aug 31, 2018
Kean Ming Tan, Zhaoran Wang, Han Liu, Tong Zhang

Figure 1 for Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow
Figure 2 for Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow
Figure 3 for Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow
Viaarxiv icon

QuaSE: Sequence Editing under Quantifiable Guidance

Aug 31, 2018
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang

Figure 1 for QuaSE: Sequence Editing under Quantifiable Guidance
Figure 2 for QuaSE: Sequence Editing under Quantifiable Guidance
Figure 3 for QuaSE: Sequence Editing under Quantifiable Guidance
Figure 4 for QuaSE: Sequence Editing under Quantifiable Guidance
Viaarxiv icon