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Found 4 papers, 0 papers with code
Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures
A novel algorithm is proposed to solve the sample-based optimal transport problem.
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
We apply our methodology to detect anomalous individuals, to cluster the cohort into groups with different sleeping tendencies, and to obtain improved predictions of future sleep behavior.
Adaptive Optimal Transport
An adaptive, adversarial methodology is developed for the optimal transport problem between two distributions $\mu$ and $\nu$, known only through a finite set of independent samples $(x_i)_{i=1.. N}$ and $(y_j)_{j=1.. M}$.
Optimization and Control
Prototypal Analysis and Prototypal Regression
Prototypal analysis is introduced to overcome two shortcomings of archetypal analysis: its sensitivity to outliers and its non-locality, which reduces its applicability as a learning tool.
