Hong Ge
8 papers · 2015–2024 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (18)
π
Keyword Champion
(2)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Mathematics & Optimization
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization
(3)
Deep Learning
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Mathematics
(1)
Probability
(1)
Keywords
hamiltonian monte carlo
(3)
numerical stability
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
structure learning
(1)
optimal transport
(1)
nonparametric bayesian
(1)
slice sampling
(1)
gaussian process
(1)
automatic differentiation
(1)
parallel computing
(1)
sequential monte carlo
(1)
gibbs sampling
(1)
sparse approximation
(1)
mcmc inference
(1)
distributed inference
(1)
probabilistic programming
(1)
infinite hidden markov model
(1)
neural network optimization
(1)
probabilistic modeling
(1)
Papers
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
NeurIPS 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
ICML 2024
Couplings for Multinomial Hamiltonian Monte Carlo
AISTATS 2021
Bayesian Learning of Sum-Product Networks
NeurIPS 2019
Turing: A Language for Flexible Probabilistic Inference
AISTATS 2018
Distributed Inference for Dirichlet Process Mixture Models
ICML 2015
Particle Gibbs for Infinite Hidden Markov Models
NeurIPS 2015