Shaojie Li
13 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (9) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17)
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Grand Slam
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Keyword Champion
(2)
π€
Dynamic Duo
(12)
π₯
Unstoppable
(5)
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Century Club
(13)
Conferences
ICML (5)
ICLR (2)
IJCAI (2)
NIPS (2)
AAAI (1)
JMLR (1)
Top co-authors
Keywords
generalization bound
(4)
concentration inequality
(3)
heavy tail
(2)
generalization performance
(2)
excess risk bound
(2)
heavy-tailed distribution
(2)
convex optimization
(1)
spectral clustering
(1)
learning theory
(1)
knowledge distillation
(1)
sample complexity
(1)
empirical risk minimization
(1)
normalized cut
(1)
excess risk
(1)
transductive learning
(1)
nonconvex optimization
(1)
learning rate
(1)
statistical learning theory
(1)
convergence rate
(1)
structured prediction
(1)
Papers
Towards Improved Risk Bounds for Transductive Learning
IJCAI 2025
Towards Sharper Risk Bounds for Minimax Problems
IJCAI 2024
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
ICML 2024
Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails
JMLR 2024
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
ICML 2024
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
ICML 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms
AAAI 2023
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
ICLR 2023
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
ICML 2022
High Probability Generalization Bounds with Fast Rates for Minimax Problems
ICLR 2022
Towards Sharper Generalization Bounds for Structured Prediction
NIPS 2021
Sharper Generalization Bounds for Clustering
ICML 2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
NIPS 2021