Huang Fang

Open J. Math. Optim., 2024

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions.

[BibT_eX]

[DOI]

CoRR, 2024

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models.

[BibT_eX]

[DOI]

CoRR, 2024

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2024

Fair and Efficient Contribution Valuation for Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Convergence of Differential Private SGD with Gradient Clipping.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case.

[BibT_eX]

[DOI]

Nicholas J. A. Harvey

Victor S. Portella

J. Mach. Learn. Res., 2022

A dual approach for federated learning.

[BibT_eX]

[DOI]

CoRR, 2022

Fair and efficient contribution valuation for vertical federated learning.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Fairness for Data Valuation in Horizontal Federated Learning.

[BibT_eX]

[DOI]

Changxin Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Improving Fairness for Data Valuation in Federated Learning.

[BibT_eX]

[DOI]

Changxin Liu

CoRR, 2021

Efficient greedy coordinate descent via variable partitioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Fast convergence of stochastic subgradient method under interpolation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization.

[BibT_eX]

[DOI]

Yifan Sun

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization.

[BibT_eX]

[DOI]

Minhao Cheng

Cho-Jui Hsieh

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2017

Improved Bounded Matrix Completion for Large-Scale Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Minhao Cheng

Cho-Jui Hsieh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2009

3D Spatial Analysis Oriented Hybrid P2P Computing.

[BibT_eX]

[DOI]

Xicheng Tan