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Found 7 papers, 0 papers with code
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
We conclude that influence functions can be made practical, even for large scale machine learning systems, and that influence values can be taken into account by algorithms that selectively remove training points, as part of the learning process.
Matrix Completion with Heterogonous Cost
The second one is any two entry has different observation cost, despite being the same or different columns.
Adaptive Noisy Matrix Completion
In this paper we focus on adaptive matrix completion with bounded type of noise.
Lifelong Matrix Completion with Sparsity-Number
In this paper, we are using the idea of sparsity-number and propose and single-phase column space recovery algorithm which can be extended to two-phase exact matrix completion algorithm.
Performance of Distribution Regression with Doubling Measure under the seek of Closest Point
We study the distribution regression problem assuming the distribution of distributions has a doubling measure larger than one.
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
It often leads to the dependence of convergence rate on maximum Lipschitz constant of gradients across the devices.
Optimal Exact Matrix Completion Under new Parametrization
We study the problem of exact completion for $m \times n$ sized matrix of rank $r$ with the adaptive sampling method.
