Blindness of score-based methods to isolated components and mixing proportions

no code implementations • 23 Aug 2020 • Li K. Wenliang, Heishiro Kanagawa

Statistical tasks such as density estimation and approximate Bayesian inference often involve densities with unknown normalising constants.

Bayesian Inference Density Estimation +1

COT-GAN: Generating Sequential Data via Causal Optimal Transport

2 code implementations • NeurIPS 2020 • Tianlin Xu, Li K. Wenliang, Michael Munn, Beatrice Acciaio

We introduce COT-GAN, an adversarial algorithm to train implicit generative models optimized for producing sequential data.

Time Series Time Series Analysis

Amortised Learning by Wake-Sleep

no code implementations • ICML 2020 • Li K. Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani

Models that employ latent variables to capture structure in observed data lie at the heart of many current unsupervised learning algorithms, but exact maximum-likelihood learning for powerful and flexible latent-variable models is almost always intractable.