Yingzhen Li
35 papers · 2015–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yingzhen Li?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with José Miguel Hernández-Lobato, Cheng Zhang, Wenbo Gong
11 papers
· 2015–2024
· NeurIPS, ICML, ICLR
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Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Active Slices for Sliced Stein Discrepancy
ICML 2021
Meta-Learning Divergences for Variational Inference
AISTATS 2021
Sliced Kernelized Stein Discrepancy
ICLR 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
NeurIPS 2021
A Causal View on Robustness of Neural Networks
NeurIPS 2020
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
NeurIPS 2019
Meta-Learning For Stochastic Gradient MCMC
ICLR 2019
Variational Implicit Processes
ICML 2019
Rényi Divergence Variational Inference
NeurIPS 2016
Stochastic Expectation Propagation
NeurIPS 2015
6 papers whose co-authors appear nowhere else under this name
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
Robust and Adaptive Deep Learning via Bayesian Principles
AAAI 2023
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Scalable Infomin Learning
NeurIPS 2022
Are Generative Classifiers More Robust to Adversarial Attacks?
ICML 2019
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
ICML 2017