259 citations · 463 across the 39 of their papers we have counts for
3 papers · 2 filters
Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
The Variational Autoencoder (VAE) is a powerful framework for learning probabilistic latent variable generative models. However, typical assumptions on the approximate posterior di…
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu, Ruosong Wang, Lin F. Yang +2
Preference-based Reinforcement Learning (PbRL) replaces reward values in traditional reinforcement learning by preferences to better elicit human opinion on the target objective, e…
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
Chirag Nagpal, Xinyu Rachel Li, Artur Dubrawski
We describe a new approach to estimating relative risks in time-to-event prediction problems with censored data in a fully parametric manner. Our approach does not require making s…