I'm a mathematics Masters student currently performing research on variational Bayes with coursework in pure mathematics and computer science. I have a strong interest in robotics, reinforcement learning and computer vision.
Research Interests:
Approximate Bayesian Computation
Deep learning
Machine Learning
Markov Chain Monte Carlo
Reinforcement learning
robotics and autonomous systems
Variational Inference Methods
Qualifications:
Bachelor of Commerce in Actuarial Studies (Honours)
ACEMS researchers have now provided a mathematical treatment that sheds light on the variance reduction properties of the reparameterization trick. The work was presented at the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) in Okinawa, Japan in April 2019, and was subsequently published in the conference proceedings. AISTATS is considered a top conference in Machine Learning.
