Christopher Nemeth
11 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (23) 👥 Mega-Team · Squad
💎
Century Club · Bronze
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Keyword Collector
(55)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Mathematics & Optimization
(7)
Artificial Intelligence
(6)
Bayesian & Probabilistic · Machine Learning
(6)
Optimization
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Deep Learning
(3)
Core Methods
(2)
Mathematics
(2)
Models
(2)
Data Science & Analytics
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
bayesian inference
(6)
markov chain monte carlo
(6)
stein variational gradient descent
(3)
stochastic optimization
(2)
coin betting
(2)
dirichlet process
(1)
continual learning
(1)
active learning
(1)
probabilistic inference
(1)
hamiltonian monte carlo
(1)
flow matching
(1)
adaptive sampling
(1)
langevin dynamics
(1)
bayesian modeling
(1)
variance reduction
(1)
variational inference
(1)
probability distribution
(1)
auxiliary variable
(1)
posterior distribution
(1)
probabilistic modeling
(1)
Papers
Modelling Populations of Interaction Networks via Distance Metrics
JMLR 2025
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
NeurIPS 2024
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
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
ICML 2023
Learning Rate Free Sampling in Constrained Domains
NeurIPS 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
AISTATS 2023
Transport Elliptical Slice Sampling
AISTATS 2023
Pseudo-Extended Markov chain Monte Carlo
NeurIPS 2019
Large-Scale Stochastic Sampling from the Probability Simplex
NeurIPS 2018