Pages that link to "Item:Q3706238"

The following pages link to Remarks on Inequalities for Large Deviation Probabilities (Q3706238):

Displaying 38 items.

• A Kernel Multiple Change-point Algorithm via Model Selection (Q80474) (← links)
• Optimal-order bounds on the rate of convergence to normality in the multivariate delta method (Q276236) (← links)
• Integral operator approach to learning theory with unbounded sampling (Q371679) (← links)
• Estimation of high-dimensional low-rank matrices (Q548539) (← links)
• On regularization algorithms in learning theory (Q870339) (← links)
• Kernel regression estimation in a Banach space (Q998998) (← links)
• Elastic-net regularization in learning theory (Q1023403) (← links)
• On a majorization inequality for sums of independent random vectors (Q1314685) (← links)
• A probability inequality for obtaining lower bounds in the large deviation principle (Q1358024) (← links)
• Approximation and exponential inequalities for sums of dependent random vectors (Q1598479) (← links)
• Efficient estimation and computation for the generalised additive models with unknown link function (Q1652955) (← links)
• Concentration inequalities for separately convex functions (Q1708988) (← links)
• Remarks on deviation inequalities for functions of infinitely divisible random vectors (Q1872292) (← links)
• Kernel conjugate gradient methods with random projections (Q1979923) (← links)
• Improved concentration bounds for sums of independent sub-exponential random variables (Q2081780) (← links)
• Robbins-Monro algorithm with \(\psi\)-mixing random errors (Q2096911) (← links)
• Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems (Q2192321) (← links)
• Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces (Q2300763) (← links)
• A mean-field optimal control formulation of deep learning (Q2319864) (← links)
• Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods (Q2325378) (← links)
• Optimal rates for coefficient-based regularized regression (Q2330932) (← links)
• On the Bennett-Hoeffding inequality (Q2438252) (← links)
• Sample average approximations of strongly convex stochastic programs in Hilbert spaces (Q2688927) (← links)
• Optimal Re-centering Bounds, with Applications to Rosenthal-type Concentration of Measure Inequalities (Q2840332) (← links)
• Least square regression with coefficient regularization by gradient descent (Q2893483) (← links)
• A stochastic procedure to solve linear ill-posed problems (Q2979623) (← links)
• CROSS-VALIDATION BASED ADAPTATION FOR REGULARIZATION OPERATORS IN LEARNING THEORY (Q3560100) (← links)
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• Convex regularization in statistical inverse learning problems (Q6115632) (← links)
• Coefficient-based regularized distribution regression (Q6187678) (← links)
• Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs (Q6188687) (← links)
• Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization (Q6195313) (← links)
• An optimal control framework for adaptive neural ODEs (Q6561374) (← links)
• Least squares approximations in linear statistical inverse learning problems (Q6601195) (← links)