Christopher Nemeth
11 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (4)
π
Academic Marathon
(7)
π
Cross-Pollinator
(14)
π₯
Mega-Team
(25)
π
Century Club
(11)
Conferences
NIPS (4)
AISTATS (3)
ICML (3)
JMLR (1)
Top co-authors
Keywords
markov chain monte carlo
(6)
bayesian inference
(6)
stein variational gradient descent
(3)
coin betting
(2)
variational inference
(1)
probability distribution
(1)
stochastic gradient
(1)
adaptive sampling
(1)
dirichlet process
(1)
flow matching
(1)
bayesian modeling
(1)
posterior distribution
(1)
hamiltonian monte carlo
(1)
variance reduction
(1)
auxiliary variable
(1)
probabilistic inference
(1)
probability measure
(1)
probability simplex
(1)
constrained sampling
(1)
langevin dynamics
(1)
Papers
Modelling Populations of Interaction Networks via Distance Metrics
JMLR 2025
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
AISTATS 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
NIPS 2024
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
AISTATS 2023
Learning Rate Free Sampling in Constrained Domains
NIPS 2023
Transport Elliptical Slice Sampling
AISTATS 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
ICML 2023
Pseudo-Extended Markov chain Monte Carlo
NIPS 2019
Large-Scale Stochastic Sampling from the Probability Simplex
NIPS 2018