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Found 3 papers, 0 papers with code
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression
Modeling and estimation for spatial data are ubiquitous in real life, frequently appearing in weather forecasting, pollution detection, and agriculture.
Bayesian Uncertainty Quantification for Low-Rank Matrix Completion
We consider the problem of uncertainty quantification for an unknown low-rank matrix $\mathbf{X}$, given a partial and noisy observation of its entries.
Decision Making
Low-Rank Matrix Completion
Methodology
Sequential Adversarial Anomaly Detection for One-Class Event Data
We consider the sequential anomaly detection problem in the one-class setting when only the anomalous sequences are available and propose an adversarial sequential detector by solving a minimax problem to find an optimal detector against the worst-case sequences from a generator.
