Risk-sensitive reinforcement learning (RL) has garnered significant atte...
Disentangled learning representations have promising utility in many
app...
We present a self-supervised method to disentangle factors of variation ...
With the development of learning-based embedding models, embedding vecto...
Deep Markov models (DMM) are generative models that are scalable and
exp...
Knowing the similarity between sets of data has a number of positive
imp...
There is an increasing need of continual learning in dynamic systems, su...
User participation in online communities is driven by the intertwinement...
In financial asset management, choosing a portfolio requires balancing
r...