Talks

2020

· 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

2013

· Undergraduate Research Poster · SHAPE