Bokun Wang
12 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Renaissance Researcher
(5)
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Conference Polyglot
(4)
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Triple Crown
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Century Club
(12)
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Prolific Year
(7)
Conferences
ICML (7)
ICLR (2)
JMLR (2)
NIPS (1)
Top co-authors
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