← Authors

Bokun Wang

12 papers · 2022–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (20) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (4) πŸ‘‘ Triple Crown πŸ’Ž Century Club (12) ⚑ Prolific Year (7)

Conferences

ICML (7) ICLR (2) JMLR (2) NIPS (1)

Top co-authors

Tianbao Yang (9) Yiming Ying (2) Xiaodong Wu (2) Peter Richtarik (2) Dixian Zhu (2) Shuiwang Ji (1) Zhuoning Yuan (1) Yunwen Lei (1) Lingzhou Xue (1) Limei Wang (1)

Keywords

stochastic optimization (4) compositional optimization (3) variance reduction (2) non-convex optimization (2) model evaluation (1) deep learning (1) stochastic gradient descent (1) gradient-based optimization (1) continual learning (1) medical imaging (1) multi-instance learning (1) sample complexity (1) gradient-based method (1) distributed optimization (1) variational inference (1) stochastic gradient (1) sparse pca (1) oracle complexity (1) communication efficiency (1) riemannian optimization (1)

Papers

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization ICML 2025
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning ICLR 2025
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NIPS 2022
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022
IntSGD: Adaptive Floatless Compression of Stochastic Gradients ICLR 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum ICML 2022