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arXiv preprint arXiv:1803.06573 , year=

7 Pith papers cite this work. Polarity classification is still indexing.

7 Pith papers citing it
abstract

We provide a simple proof for the Fenchel duality between strong convexity and Lipschitz continuous gradient. To this end, we first establish equivalent conditions of convexity for a general function that may not be differentiable. By utilizing these equivalent conditions, we can directly obtain equivalent conditions for strong convexity and Lipschitz continuous gradient. Based on these results, we can easily prove Fenchel duality. Beside this main result, we also identify several conditions that are implied by strong convexity or Lipschitz continuous gradient, but are not necessarily equivalent to them. This means that these conditions are more general than strong convexity or Lipschitz continuous gradient themselves.

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representative citing papers

Tessellations of Semi-Discrete Flow Matching

cs.LG · 2026-05-08 · unverdicted · novelty 7.0

Semi-discrete Flow Matching produces terminal assignment regions that are topologically simple (open, simply connected, homeomorphic to the ball under assumption) yet geometrically distinct from optimal transport Laguerre cells, as they can be non-convex with curved boundaries.

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Showing 7 of 7 citing papers.