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11/29/2021
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Predicting the future behavior of road users is one of the most challeng...
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03/05/2018
Recurrent Predictive State Policy Networks
We introduce Recurrent Predictive State Policy (RPSP) networks, a recurr...
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05/25/2017
Predictive State Recurrent Neural Networks
We present a new model, Predictive State Recurrent Neural Networks (PSRN...
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02/14/2017
Practical Learning of Predictive State Representations
Over the past decade there has been considerable interest in spectral al...
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02/12/2017
Supervised Learning for Controlled Dynamical System Learning
We develop a framework for reducing the identification of controlled dyn...
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03/19/2016
Stochastic Variance Reduction for Nonconvex Optimization
We study nonconvex finite-sum problems and analyze stochastic variance r...
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06/23/2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
We study optimization algorithms based on variance reduction for stochas...
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05/20/2015
Supervised Learning for Dynamical System Learning
Recently there has been substantial interest in spectral methods for lea...
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08/22/2012