3 papers
cs.LG2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization
Andrew Stirn, David A. Knowles
Brittle optimization has been observed to adversely impact model likelihoods for regression and VAEs when simultaneously fitting neural network mappings from a (random) variable on…
cs.LG2019
A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn, Tony Jebara, David A Knowles
We construct a new distribution for the simplex using the Kumaraswamy distribution and an ordered stick-breaking process. We explore and develop the theoretical properties of this…
cs.LG2018
Thompson Sampling for Noncompliant Bandits
Andrew Stirn, Tony Jebara
Thompson sampling, a Bayesian method for balancing exploration and exploitation in bandit problems, has theoretical guarantees and exhibits strong empirical performance in many dom…