research
∙
07/09/2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
We propose a novel framework for structured bandits, which we call an in...
share
research
∙
11/21/2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
The graph is a natural representation of data in a variety of real-world...
research
∙
11/06/2018
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning
Finding the most likely path to a set of failure states is important to ...
research
∙
10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
research
∙
02/15/2018
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences
Random walk based distance measures for graphs such as commute-time dist...
research
∙
01/22/2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Labeled data used for training activity recognition classifiers are usua...
research
∙
11/22/2017
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
Dialog response selection is an important step towards natural response ...
research
∙
09/21/2017