Luo Luo

According to our database1, Luo Luo authored at least 23 papers between 2008 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
Efficient Projection-Free Algorithms for Saddle Point Problems.
CoRR, 2020

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

Multi-consensus Decentralized Accelerated Gradient Descent.
CoRR, 2020

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

Efficient and Robust High-Dimensional Linear Contextual Bandits.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Robust Frequent Directions with Application in Online Learning.
J. Mach. Learn. Res., 2019

A Stochastic Proximal Point Algorithm for Saddle-Point Problems.
CoRR, 2019

A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization.
CoRR, 2019

2018
Sketched Follow-The-Regularized-Leader for Online Factorization Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

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

Online Learning Via Regularized Frequent Directions.
CoRR, 2017

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

Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions.
J. Mach. Learn. Res., 2016

Revisiting Sub-sampled Newton Methods.
CoRR, 2016

Variance-Reduced Second-Order Methods.
CoRR, 2016

Quasi-Newton Hamiltonian Monte Carlo.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Frequent Direction Algorithms for Approximate Matrix Multiplication with Applications in CCA.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Support Matrix Machines.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
The Modified Nystrom Method: Theories, Algorithms, and Extension.
CoRR, 2014

2013
Robust crowdsourced learning.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

2008
Will they stay or will they go?
Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education, 2008


  Loading...