Shengyang Sun
13 papers · 2017–2023 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(66)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Learning Types Β· Machine Learning
(3)
Models
(3)
Core Methods
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Architectures
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Keywords
variational inference
(6)
bayesian neural network
(4)
gaussian process
(4)
uncertainty estimation
(3)
kernel methods
(2)
implicit distribution
(2)
kernel learning
(1)
semantic segmentation
(1)
learning theory
(1)
high-dimensional inference
(1)
video understanding
(1)
video anomaly detection
(1)
gaussian processes
(1)
gradient estimation
(1)
continual learning
(1)
natural gradient
(1)
scene understanding
(1)
posterior distribution
(1)
gradient descent
(1)
kernel approximation
(1)
Papers
Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection
CVPR 2023
Information-theoretic Online Memory Selection for Continual Learning
ICLR 2022
Understanding the Variance Collapse of SVGD in High Dimensions
ICLR 2022
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
AISTATS 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ICML 2021
Aggregated Momentum: Stability Through Passive Damping
ICLR 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
NeurIPS 2019
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
ICLR 2019
A Spectral Approach to Gradient Estimation for Implicit Distributions
ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes
ICML 2018
Kernel Implicit Variational Inference
ICLR 2018
Noisy Natural Gradient as Variational Inference
ICML 2018
Learning Structured Weight Uncertainty in Bayesian Neural Networks
AISTATS 2017