Wenbo Gong
9 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
variational inference
(5)
structure learning
(2)
stochastic gradient markov chain monte carlo
(2)
bayesian inference
(2)
goodness-of-fit test
(2)
uncertainty quantification
(1)
missing value imputation
(1)
causal discovery
(1)
gradient optimization
(1)
bayesian deep learning
(1)
posterior inference
(1)
spectral decomposition
(1)
generative model
(1)
structural equation model
(1)
stochastic differential equation
(1)
gaussian process
(1)
variational autoencoder
(1)
latent space
(1)
active subspace
(1)
posterior sampling
(1)
Papers
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
ICML 2025
Neural structure learning with stochastic differential equations
ICLR 2024
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NeurIPS 2023
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
Simultaneous Missing Value Imputation and Structure Learning with Groups
NeurIPS 2022
Active Slices for Sliced Stein Discrepancy
ICML 2021
Sliced Kernelized Stein Discrepancy
ICLR 2021
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model
NeurIPS 2019
Meta-Learning For Stochastic Gradient MCMC
ICLR 2019