268 citations · 281 across the 7 of their papers we have counts for
4 papers · 1 filter
Boosting Black Box Variational Inference
Francesco Locatello, Gideon Dresdner, Rajiv Khanna +2
Approximating a probability density in a tractable manner is a central task in Bayesian statistics. Variational Inference (VI) is a popular technique that achieves tractability by…
On Matching Pursuit and Coordinate Descent
Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy +4
Two popular examples of first-order optimization methods over linear spaces are coordinate descent and matching pursuit algorithms, with their randomized variants. While the former…
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch
Generative Adversarial Networks (GANs) have shown remarkable success as a framework for training models to produce realistic-looking data. In this work, we propose a Recurrent GAN…
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis
Christian Widmer, Marius Kloft, Vipin T Sreedharan +1
We present a general regularization-based framework for Multi-task learning (MTL), in which the similarity between tasks can be learned or refined using -norm Multiple Kern…