Venkatraman, Arun

7 publications

ICML 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

AISTATS 2017 Gradient Boosting on Stochastic Data Streams Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell

NeurIPS 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris Kitani, J. Bagnell

IJCAI 2016 Inference Machines for Nonparametric Filter Learning Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell

ICML 2016 Learning to Filter with Predictive State Inference Machines Wen Sun, Arun Venkatraman, Byron Boots, J.Andrew Bagnell

AAAI 2016 Online Instrumental Variable Regression with Applications to Online Linear System Identification Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots

AAAI 2015 Improving Multi-Step Prediction of Learned Time Series Models Arun Venkatraman, Martial Hebert, J. Andrew Bagnell