Bokun Wang

Orcid: 0000-0003-1091-3324

According to our database1, Bokun Wang authored at least 19 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.
J. Mach. Learn. Res., 2023

ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization.
CoRR, 2023

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.
CoRR, 2023

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling.
Proceedings of the International Conference on Machine Learning, 2023

2022
Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder.
Sensors, 2022

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold.
J. Mach. Learn. Res., 2022

Finite-Sum Compositional Stochastic Optimization: Theory and Applications.
CoRR, 2022

Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee.
Proceedings of the International Conference on Machine Learning, 2022

GraphFM: Improving Large-Scale GNN Training via Feature Momentum.
Proceedings of the International Conference on Machine Learning, 2022

Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications.
Proceedings of the International Conference on Machine Learning, 2022

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.
Proceedings of the International Conference on Machine Learning, 2022

IntSGD: Adaptive Floatless Compression of Stochastic Gradients.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Memory-based Optimization Methods for Model-Agnostic Meta-Learning.
CoRR, 2021

Smoothness-Aware Quantization Techniques.
CoRR, 2021

IntSGD: Floatless Compression of Stochastic Gradients.
CoRR, 2021

2020
Bidirectional Discrete Matrix Factorization Hashing for Image Search.
IEEE Trans. Cybern., 2020

2019
Towards Fair Deep Clustering With Multi-State Protected Variables.
CoRR, 2019

2017
Adversarial Cross-Modal Retrieval.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


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