Wenbo Gong
9 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (6) 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16)
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Keyword Pioneer
🐣
Hot Topic Early Bird
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Unstoppable
(5)
Conferences
ICLR (4)
NIPS (3)
ICML (2)
Top co-authors
Keywords
variational inference
(2)
structure learning
(1)
uncertainty quantification
(1)
gaussian process
(1)
posterior inference
(1)
gradient optimization
(1)
missing value imputation
(1)
spectral decomposition
(1)
generative model
(1)
active subspace
(1)
variational autoencoder
(1)
latent space
(1)
bayesian deep learning
(1)
data acquisition
(1)
directed acyclic graph
(1)
goodness-of-fit test
(1)
latent gaussian model
(1)
stochastic gradient markov chain monte carlo
(1)
kernel methods
(1)
sliced stein discrepancy
(1)
Papers
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
ICML 2025
Neural structure learning with stochastic differential equations
ICLR 2024
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NIPS 2023
Simultaneous Missing Value Imputation and Structure Learning with Groups
NIPS 2022
Sliced Kernelized Stein Discrepancy
ICLR 2021
Active Slices for Sliced Stein Discrepancy
ICML 2021
Meta-Learning For Stochastic Gradient MCMC
ICLR 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model
NIPS 2019