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ML@GT Seminar Series
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The Seeing Eye Robot: Developing a Human-Aware Artificial Collaborator
Towards a Theory of Representation Learning for Reinforcement Learning
You can lead a horse to water...: Representing vs. Using Features in Neural NLP
Interpretable latent space and inverse problem in deep generative models
Generalized Energy-Based Models
Learning Locomotion: From Simulation to Real World
Compressed computation of good policies in large MDPs
Structured Prediction - Beyond Support Vector Machine and Cross Entropy
Generative models based on point processes for financial time series simulation
Learning Tree Models in Noise: Exact Asymptotics and Robust Algorithms