research
∙
06/29/2023
Understanding Pathologies of Deep Heteroskedastic Regression
Several recent studies have reported negative results when using heteros...
share
research
∙
11/15/2022
Probabilistic Querying of Continuous-Time Event Sequences
Continuous-time event sequences, i.e., sequences consisting of continuou...
research
∙
10/12/2022
Predictive Querying for Autoregressive Neural Sequence Models
In reasoning about sequential events it is natural to pose probabilistic...
research
∙
07/19/2021
Structured Stochastic Gradient MCMC
Stochastic gradient Markov chain Monte Carlo (SGMCMC) is considered the ...
research
∙
12/15/2020
Variational Beam Search for Online Learning with Distribution Shifts
We consider the problem of online learning in the presence of sudden dis...
research
∙
11/06/2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data
Continuous-time event data are common in applications such as individual...
research
∙
05/13/2020
Large Scale Multi-Actor Generative Dialog Modeling
Non-goal oriented dialog agents (i.e. chatbots) aim to produce varying a...
research
∙
11/02/2019
