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Optimal Transport Model Distributional Robustness Van-Anh Nguyen
SAM aims to find a perturbed model within the vicinity of a current model that maximizes the loss over a training set.
SequentialNeuralProcesses
Conditioning on observations, itdirectly performs inference on the target stochastic process.
Which Mutual-Information Representation Learning Objectivesare Sufficientfor Control?
Figure 4: (left) Originalcatchergame: agent (grey paddle) movesleftorrighttocatchfruit (yellow square) thatfalls. Ouraim representations, objectiv 8 Err.
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado P. van Hasselt, David Silver, Satinder Singh
Neural Information Processing Systems http://nips.cc/
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
These matrix ensembles are defined precisely in section 2.1, but the reader can keep in