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Found 5 papers, 2 papers with code
Network Pruning by Greedy Subnetwork Selection
Theoretically, we show that the small networks pruned using our method achieve provably lower loss than small networks trained from scratch with the same size.
A nonparametric method for gradual change problems with statistical guarantees
We consider the detection and localization of gradual changes in the distribution of a sequence of time-ordered observations.
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Motivated by the rising abundance of observational data with continuous treatments, we investigate the problem of estimating the average dose-response curve (ADRF).
Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
With the rising abundance of observational data with continuous treatments, we investigate the problem of estimating average dose-response curve (ADRF).
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
This differs from the existing methods based on backward elimination, which remove redundant neurons from the large network.
