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We derive an exact solution for the steady state of this interacting driven- dissipative system, and use it show that the sys- tem permits the preparation and stabilization of
In general under complete randomization, if the number of units interfering with a unit is of the same order as the sample size, our view of the unit’s potential outcomes will
As we acquire more data, and seeing that frameworks for deployment of deep models to mobile platforms are beginning to mature[16], we will develop deep neural networks which
The authors took a departure from the Latent Gaussian Process approach (widely regarded as the industry standard), by modeling the fixed and random effects coefficients
In the ordinal regression model, we trained with soft thresholds since we needed the model to be differentiable end to end. In the post-hoc model, we searched threshold space in
1) In order that any algorithm works for the semi-supervised classification problem the initial training sample D n (whose size does not need to tend to infinity) must be well
This article presents a rigorous analysis for efficient statistically accurate algorithms for solving the Fokker-Planck equations associated with high-dimensional nonlinear
So it was not surprising that “only” ten years after original article [3], John Ewell published his paper [6] claiming that pair (12, 4) was not singular and recovery was
