Explore the research landscape of the Computational Statistics and Machine Learning (CSML) group.


1. Topic Word Cloud

Most frequent terms from all past and future talk abstracts. Click a word to see all related talks.

MCMC Bayesian sampling particle Markov Gaussian distribution monte_carlo target posterior processes Metropolis space approximation chain likelihood variational network learning sampler diffusion regression gradient computational simulation state non process random Deep estimation filter standard generative field GP Optimal prior introduce theoretical stochastic kernel mean

2. Topic Co-occurrence Network

Visualizes how topics appear together in the same talks.


3. Topic Evolution Stream

How has our research focus changed over time? This streamgraph shows the evolution of our top topics.

Interactive Streamgraph

4. Speaker Leaderboard

See who has given the most talks over the years.