Shaojie Li
15 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π Keyword Champion (2) π Grand Slam
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(69)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(12)
Mathematics & Optimization
(5)
Mathematics
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Speech & Audio
(2)
Architectures
(2)
Core Methods
(2)
Probability
(2)
Processing
(2)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Learning Types Β· Machine Learning
(1)
Keywords
generalization bound
(7)
concentration inequality
(3)
heavy-tailed distribution
(3)
convergence rate
(2)
heavy tail
(2)
learning theory
(2)
high probability bound
(2)
generalization performance
(2)
stochastic gradient descent
(2)
minimax problem
(2)
excess risk bound
(2)
empirical risk minimization
(1)
spectral clustering
(1)
normalized cut
(1)
sample complexity
(1)
knowledge distillation
(1)
non-convex optimization
(1)
stochastic gradient
(1)
transductive learning
(1)
statistical learning theory
(1)
Papers
D-GAT: Dual Graph Attention Network for Global HRTF Interpolation
Interspeech 2025
Temporal Convolutional Network with Smoothed and Weighted Losses for Distant Voice Activity and Overlapped Speech Detection
Interspeech 2025
Towards Improved Risk Bounds for Transductive Learning
IJCAI 2025
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
ICML 2024
Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails
JMLR 2024
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
ICML 2024
Towards Sharper Risk Bounds for Minimax Problems
IJCAI 2024
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
ICML 2023
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
ICLR 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms
AAAI 2023
High Probability Generalization Bounds with Fast Rates for Minimax Problems
ICLR 2022
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
ICML 2022
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
NeurIPS 2021
Sharper Generalization Bounds for Clustering
ICML 2021
Towards Sharper Generalization Bounds for Structured Prediction
NeurIPS 2021