Talks

2020

· Poster · Matérn Gaussian Processes on Riemannian Manifolds
· Talk · Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
· Talk · Matérn Gaussian Processes on Riemannian Manifolds
· Talk · Path-wise, spectral, and geometric perspectives on Gaussian processes
· Talk · Efficiently sampling functions from Gaussian process posteriors
· Talk · Efficiently sampling functions from Gaussian process posteriors
· Talk · Efficiently sampling functions from Gaussian process posteriors
· Talk · Path-wise, spectral, and geometric perspectives on Gaussian processes
· Talk · Asynchronous Gibbs Sampling
· Talk · Towards physically structured probabilistic reinforcement learning
· Talk · Towards physically structured probabilistic reinforcement learning

2019

· Talk · Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
· Poster · A Piecewise Deterministic Markov Process via (r, θ) swaps in hyperspherical coordinates

2018

· Talk · Pólya Urn Latent Dirichlet Allocation
· Talk · A Piecewise Deterministic Markov Process via (r, θ) swaps in hyperspherical coordinates
· Poster · Pólya Urn Latent Dirichlet Allocation
· Talk · Strategies for Distributed Bayesian Computation
· Poster · Pólya Urn Latent Dirichlet Allocation
· Talk · Pólya Urn Latent Dirichlet Allocation

2017

· Poster · Asynchronous Markov Chain Monte Carlo and Gibbs Sampling
· Talk · Bayesian Inference on Clusters and GPUs - the Systems Perspective on Scalable Computation
· Talk · Bayesian Inference and Markov Chain Monte Carlo Algorithms on GPUs

2016

· Talk · Bayesian Inference on Clusters and GPUs - the Hardware/Software Approach to Scalable Computation
· Talk · Asynchronous Gibbs Sampling and GPU-accelerated Gibbs Sampling
· Poster · Asynchronous Gibbs Sampling
· Talk · Asynchronous Gibbs Sampling

2015

· Talk · Asynchronous Gibbs Sampling