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cs.LG2021
Structured Dropout Variational Inference for Bayesian Neural Networks
Son Nguyen, Duong Nguyen, Khai Nguyen +3
Approximate inference in Bayesian deep networks exhibits a dilemma of how to yield high fidelity posterior approximations while maintaining computational efficiency and scalability…
cs.LG2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le, Huy Nguyen, Quang Nguyen +3
We consider robust variants of the standard optimal transport, named robust optimal transport, where marginal constraints are relaxed via Kullback-Leibler divergence. We show that…