Picture for Christopher Nemeth

Christopher Nemeth

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Add code
May 23, 2024
Viaarxiv icon

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Add code
Feb 06, 2024
Viaarxiv icon

Learning Rate Free Bayesian Inference in Constrained Domains

Add code
May 24, 2023
Figure 1 for Learning Rate Free Bayesian Inference in Constrained Domains
Figure 2 for Learning Rate Free Bayesian Inference in Constrained Domains
Figure 3 for Learning Rate Free Bayesian Inference in Constrained Domains
Figure 4 for Learning Rate Free Bayesian Inference in Constrained Domains
Viaarxiv icon

CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models

Add code
May 24, 2023
Figure 1 for CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
Figure 2 for CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
Figure 3 for CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
Figure 4 for CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
Viaarxiv icon

Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

Add code
Jan 26, 2023
Figure 1 for Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Figure 2 for Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Figure 3 for Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Figure 4 for Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Viaarxiv icon

Preferential Subsampling for Stochastic Gradient Langevin Dynamics

Add code
Oct 28, 2022
Figure 1 for Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Figure 2 for Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Figure 3 for Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Figure 4 for Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Viaarxiv icon

SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

Add code
Aug 08, 2022
Figure 1 for SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Figure 2 for SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Figure 3 for SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Figure 4 for SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Viaarxiv icon

Gaussian Processes on Hypergraphs

Add code
Jun 03, 2021
Figure 1 for Gaussian Processes on Hypergraphs
Figure 2 for Gaussian Processes on Hypergraphs
Figure 3 for Gaussian Processes on Hypergraphs
Figure 4 for Gaussian Processes on Hypergraphs
Viaarxiv icon

Stochastic Gradient MCMC with Multi-Armed Bandit Tuning

Add code
May 28, 2021
Figure 1 for Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
Figure 2 for Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
Figure 3 for Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
Figure 4 for Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
Viaarxiv icon

Stein Variational Gaussian Processes

Add code
Sep 25, 2020
Figure 1 for Stein Variational Gaussian Processes
Figure 2 for Stein Variational Gaussian Processes
Figure 3 for Stein Variational Gaussian Processes
Figure 4 for Stein Variational Gaussian Processes
Viaarxiv icon