Jiawei Zhang

Affiliations:
  • Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
  • Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA


According to our database1, Jiawei Zhang authored at least 11 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem.
IEEE Trans. Signal Process., 2022

2021
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems.
IEEE Trans. Signal Process., 2021

Decentralized Non-Convex Learning with Linearly Coupled Constraints.
CoRR, 2021

When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization.
SIAM J. Optim., 2020

A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exact O(N<sup>2</sup>) Hyper-Parameter Optimization for Gaussian Process Regression.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A General O(n<sup>2</sup>) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM.
CoRR, 2019

Scalable Gaussian Process Using Inexact Admm for Big Data.
Proceedings of the IEEE International Conference on Acoustics, 2019


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