Haishan Ye

According to our database1, Haishan Ye authored at least 16 papers between 2016 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices.
CoRR, 2020

Multi-consensus Decentralized Accelerated Gradient Descent.
CoRR, 2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation.
CoRR, 2020

Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems.
CoRR, 2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fast stochastic second-order method logarithmic in condition number.
Pattern Recognit., 2019

Fast Generalized Matrix Regression with Applications in Machine Learning.
CoRR, 2019

Mirror Natural Evolution Strategies.
CoRR, 2019

2018
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack.
CoRR, 2018

2017
Fast Fisher discriminant analysis with randomized algorithms.
Pattern Recognit., 2017

Nesterov's Acceleration For Approximate Newton.
CoRR, 2017

A Unifying Framework for Convergence Analysis of Approximate Newton Methods.
CoRR, 2017

Approximate Newton Methods and Their Local Convergence.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Tighter bound of Sketched Generalized Matrix Approximation.
CoRR, 2016

Revisiting Sub-sampled Newton Methods.
CoRR, 2016

Accelerating Random Kaczmarz Algorithm Based on Clustering Information.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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