Pages that link to "Item:Q5887828"
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The following pages link to Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation (Q5887828):
Displaying 12 items.
- An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization (Q2159413) (← links)
- Stopping rules for gradient methods for non-convex problems with additive noise in gradient (Q6051170) (← links)
- Overparameterized maximum likelihood tests for detection of sparse vectors (Q6137612) (← links)
- Tractability from overparametrization: the example of the negative perceptron (Q6193766) (← links)
- A data-dependent approach for high-dimensional (robust) Wasserstein alignment (Q6579774) (← links)
- Benign overfitting and adaptive nonparametric regression (Q6582360) (← links)
- Training adaptive reconstruction networks for blind inverse problems (Q6587645) (← links)
- Convergence analysis for over-parameterized deep learning (Q6608346) (← links)
- New equivalences between interpolation and SVMs: kernels and structured features (Q6617269) (← links)
- Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification (Q6643296) (← links)
- Differentiability in unrolled training of neural physics simulators on transient dynamics (Q6663245) (← links)
- The energy landscape of the Kuramoto model in random geometric graphs in a circle (Q6667513) (← links)
