A new method for averaging model predictions using minimum divergence.
arXiv research
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Unified framework improves neural network robustness against label noise and adversarial attacks.
A new robust PCA estimator combining M-estimators and minimum divergence estimators.
Generative model uses ODEs and RKHSs for measure matching.
Financial exchange operators cater to the needs of their users while simultaneously ensuring compliance with the financial regulations. In this work, we focus on the operators' commitment for fair treatment of all competing participants. We first discuss unbounded temporal fairness and then investigate its implementati…
In this work, a novel solution to the speaker identification problem is proposed through minimization of statistical divergences between the probability distribution (g). of feature vectors from the test utterance and the probability distributions of the feature vector corresponding to the speaker classes. This approac…
DM framework improves robustness and efficiency in latent-mixture models.
Optimal tests for composite nulls achieve the KL inf lower bound.
Top-H decoding improves text generation by balancing creativity and coherence.