Asia
VisitClinicRecords
To this end, we propose DrugRec, a causal inference baseddrugrecommendationmodel.
OpenMatch: Open-setConsistency Regularizationfor Semi-supervisedLearningwithOutliers
The OVA-classifier outputs the confidence score of a sample being an inlier, providing a threshold to detect outliers.
Deep Gamblers: Learning to Abstain with Portfolio Theory
Ziyin Liu, Zhikang Wang, Paul Pu Liang, Russ R. Salakhutdinov, Louis-Philippe Morency, Masahito Ueda
Top-10 rejected images in the MNIST testing set found by two methods.
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David Woodruff
We study the Kronecker product regression problem, in which the design matrix is a Kronecker product of two or more matrices.
HedgingasRewardAugmentationinProbabilistic GraphicalModels
Weargue that hedging is an activity that human and machine agents should engage in more broadly, even when the agent's value is not necessarily in monetary units.
b250de41980b58d34d6aadc3f4aedd4c-Paper-Conference.pdf
It has been applied in areas such as breaking cryptographic systems [1], searching databases [2], and quantum simulation [3, 4], in which it gives a quantum speedup over the best known classical algorithms. With the fast development of quantum hardware, recent results [5-7] have shown quantum advantages in specific tasks.
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White
A fundamental challenge in neuroscience is to estimate the structure of white matter connectivity inthehuman brainorconnectomes [14,29]. Connectomes aremadeupofneuronal axonbundles wrapped with myelin sheaths, called fascicles, and connect different areas ofthe brain.
