Sun, Shengyang

13 publications

CVPR 2023 Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection Shengyang Sun, Xiaojin Gong

ICLR 2022 Information-Theoretic Online Memory Selection for Continual Learning Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias

ICLR 2022 Understanding the Variance Collapse of SVGD in High Dimensions Jimmy Ba, Murat A Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang

AISTATS 2021 Beyond Marginal Uncertainty: How Accurately Can Bayesian Regression Models Estimate Posterior Predictive Correlations? Chaoqi Wang, Shengyang Sun, Roger Grosse

ICML 2021 Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun, Jiaxin Shi, Andrew Gordon Gordon Wilson, Roger B Grosse

ICLR 2019 Aggregated Momentum: Stability Through Passive Damping James Lucas, Shengyang Sun, Richard Zemel, Roger Grosse

NeurIPS 2019 Fast-Rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes Jun Yang, Shengyang Sun, Daniel M. Roy

ICLR 2019 Functional Variational Bayesian Neural Networks Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger Grosse

ICML 2018 A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi, Shengyang Sun, Jun Zhu

ICML 2018 Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger Grosse

ICLR 2018 Kernel Implicit Variational Inference Jiaxin Shi, Shengyang Sun, Jun Zhu

ICML 2018 Noisy Natural Gradient as Variational Inference Guodong Zhang, Shengyang Sun, David Duvenaud, Roger Grosse

AISTATS 2017 Learning Structured Weight Uncertainty in Bayesian Neural Networks Shengyang Sun, Changyou Chen, Lawrence Carin