Shengyang Sun
13 papers · 2017–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (6) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(5)
π
Conference Pioneer
π
Century Club
(13)
β
The Questioner
Conferences
ICLR (5)
ICML (4)
AISTATS (2)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
variational inference
(4)
gaussian process
(3)
uncertainty estimation
(2)
bayesian neural network
(2)
bayesian inference
(1)
scene understanding
(1)
contrastive learning
(1)
variational gaussian process
(1)
video anomaly detection
(1)
kernel learning
(1)
gradient estimation
(1)
kernel approximation
(1)
posterior distribution
(1)
video understanding
(1)
rademacher complexity
(1)
natural gradient
(1)
bayesian optimization
(1)
hamiltonian monte carlo
(1)
gaussian processes
(1)
semantic segmentation
(1)
Papers
Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection
CVPR 2023
Understanding the Variance Collapse of SVGD in High Dimensions
ICLR 2022
Information-theoretic Online Memory Selection for Continual Learning
ICLR 2022
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ICML 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
AISTATS 2021
Aggregated Momentum: Stability Through Passive Damping
ICLR 2019
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
ICLR 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
NIPS 2019
Kernel Implicit Variational Inference
ICLR 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions
ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes
ICML 2018
Noisy Natural Gradient as Variational Inference
ICML 2018
Learning Structured Weight Uncertainty in Bayesian Neural Networks
AISTATS 2017