Christopher Nemeth

11 papers · 2018–2025 · 4 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (14) 👥 Mega-Team (25) 💎 Century Club (11)

Conferences

NIPS (4) AISTATS (3) ICML (3) JMLR (1)

Top co-authors

Louis Sharrock (5) Maurizio Filippone (2) Daniel Dodd (2) Paul Fearnhead (2) Alberto Cabezas (2) George Bolt (1) Julyan Arbel (1) Michael A Osborne (1) Max Welling (1) Jack Baker (1)

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