Qifan Song
14 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Keyword Collector
(60)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(10)
Deep Learning
(7)
Learning Types · Machine Learning
(7)
Mathematics & Optimization
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Optimization
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
adversarial training
(6)
adversarial robustness
(4)
neural network
(3)
support recovery
(2)
multi-armed bandit
(2)
sparse principal component analysis
(2)
federated learning
(2)
unlabeled data
(2)
transfer learning
(1)
neural network optimization
(1)
semidefinite programming
(1)
robust classification
(1)
spike-and-slab prior
(1)
algorithmic stability
(1)
variational inference
(1)
nearest neighbor classification
(1)
matrix completion
(1)
self-supervised learning
(1)
minimax analysis
(1)
generalization error
(1)
Papers
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
AISTATS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
AISTATS 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
AISTATS 2024
Federated X-armed Bandit
AAAI 2024
Personalized Federated X-armed Bandit
AISTATS 2024
Support Recovery in Sparse PCA with General Missing Data
UAI 2024
Phase Transition from Clean Training to Adversarial Training
NeurIPS 2022
Support Recovery in Sparse PCA with Incomplete Data
NeurIPS 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Why Do Artificially Generated Data Help Adversarial Robustness
NeurIPS 2022
On the Algorithmic Stability of Adversarial Training
NeurIPS 2021
On the Generalization Properties of Adversarial Training
AISTATS 2021
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
AISTATS 2021
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
NeurIPS 2020