3 citations · 3 across the 6 of their papers we have counts for
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cs.LG2021
Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
The theory of spectral filtering is a remarkable tool to understand the statistical properties of learning with kernels. For least squares, it allows to derive various regularizati…
cs.LG2021★ 3 cited
Improving Approximate Optimal Transport Distances using Quantization
Gaspard Beugnot, Aude Genevay, Kristjan Greenewald +1
Optimal transport (OT) is a popular tool in machine learning to compare probability measures geometrically, but it comes with substantial computational burden. Linear programming a…