Bokun Wang
12 papers · 2022–2025 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Bronze π Triple Crown π¬ Deep Specialist (10)
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Venues
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Research topics
Machine Learning
(12)
Optimization & Theory
(11)
Learning Types
(4)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Architectures
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Clinical
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Learning Paradigms Β· Machine Learning
(1)
Keywords
stochastic optimization
(4)
compositional optimization
(3)
distributed optimization
(2)
stochastic gradient descent
(2)
non-convex optimization
(2)
variance reduction
(2)
contrastive learning
(2)
self-supervised learning
(1)
gradient-based optimization
(1)
continual learning
(1)
multi-instance learning
(1)
embedding
(1)
optimization
(1)
medical imaging
(1)
variational inference
(1)
deep learning
(1)
probabilistic modeling
(1)
sample complexity
(1)
model evaluation
(1)
stochastic gradient
(1)
Papers
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
ICML 2025
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
ICML 2025
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
ICLR 2025
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
JMLR 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
ICML 2023
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
ICML 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
ICML 2022
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
ICLR 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
JMLR 2022
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
NeurIPS 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
ICML 2022