Pages that link to "Item:Q2896152"
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The following pages link to Rademacher complexities and bounding the excess risk in active learning (Q2896152):
Displaying 12 items.
- Adaptive sensing performance lower bounds for sparse signal detection and support estimation (Q470072) (← links)
- A theory of transfer learning with applications to active learning (Q1945022) (← links)
- Spatially-adaptive sensing in nonparametric regression (Q1952441) (← links)
- The true sample complexity of active learning (Q1959593) (← links)
- Surrogate losses in passive and active learning (Q2008623) (← links)
- Statistical active learning algorithms for noise tolerance and differential privacy (Q2345952) (← links)
- Rates of convergence in active learning (Q2429933) (← links)
- Regularized sample average approximation for high-dimensional stochastic optimization under low-rankness (Q2687436) (← links)
- (Q4558184) (← links)
- High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks (Q5060495) (← links)
- Minimax Bounds for Active Learning (Q5432422) (← links)
- Recent advances in scaling-down sampling methods in machine learning (Q6607064) (← links)
