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Found 7 papers, 0 papers with code
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model
Recent developments of advanced driver-assistance systems necessitate an increasing number of tests to validate new technologies.
On the robustness of the minimum $\ell_2$ interpolator
For low signal to noise ratio, we also provide lower bound holding with large probability.
Aggregated Hold-Out
Aggregated hold-out (Agghoo) is a method which averages learning rules selected by hold-out (that is, cross-validation with a single split).
Lecture Notes: Selected topics on robust statistical learning theory
These notes gather recent results on robust statistical learning theory.
Pair-Matching: Links Prediction with Adaptive Queries
This paper shows that sublinear regret is achievable in the case where the graph is generated according to a Stochastic Block Model (SBM) with two communities.
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
Mean embeddings provide an extremely flexible and powerful tool in machine learning and statistics to represent probability distributions and define a semi-metric (MMD, maximum mean discrepancy; also called N-distance or energy distance), with numerous successful applications.
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
Then, we compute the variance of V-fold cross-validation and related criteria, as well as the variance of key quantities for model selection performance.
