Talks

2021

March 21	·	Poster · Aligning Time Series on Incomparable Spaces
March 21	·	Poster · Learning Contact Dynamics using Physically Structured Neural Networks
March 21	·	Poster · Matérn Gaussian Processes on Graphs
March 21	·	Talk · Matérn Gaussian Processes on Graphs
March 5	·	Talk · A Brief Tutorial on Multi-armed Bandits
March 4	·	Talk · A Brief Tutorial on Multi-armed Bandits
February 5	·	Talk · Pathwise, spectral, and geometric perspectives on Gaussian processes

2020

December 7	·	Poster · Matérn Gaussian Processes on Riemannian Manifolds
November 16	·	Talk · Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
November 12	·	Talk · Matérn Gaussian Processes on Riemannian Manifolds
October 5	·	Talk · Pathwise, spectral, and geometric perspectives on Gaussian processes
October 1	·	Talk · Efficiently sampling functions from Gaussian process posteriors
September 23	·	Talk · Efficiently sampling functions from Gaussian process posteriors
July 29	·	Talk · Efficiently sampling functions from Gaussian process posteriors
July 29	·	Talk · Pathwise, spectral, and geometric perspectives on Gaussian processes
June 17	·	Talk · Asynchronous Gibbs Sampling
April 29	·	Talk · Towards physically structured probabilistic reinforcement learning
February 11	·	Talk · Towards physically structured probabilistic reinforcement learning

2019

October 19	·	Talk · Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
August 26	·	Poster · A Piecewise Deterministic Markov Process via (r, θ) swaps in hyperspherical coordinates

2018

July 10	·	Talk · Pólya Urn Latent Dirichlet Allocation
July 5	·	Talk · A Piecewise Deterministic Markov Process via (r, θ) swaps in hyperspherical coordinates
June 26	·	Poster · Pólya Urn Latent Dirichlet Allocation
March 23	·	Poster · Pólya Urn Latent Dirichlet Allocation
January 22	·	Talk · Pólya Urn Latent Dirichlet Allocation