atlas

Research map / Optimization / Nonconvex and smooth optimization

Epigraph projections for fast general convex programming

ICML 2016 · Optimization › Nonconvex and smooth optimization · approach: Adaptive first-order convex methods · 4 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Epigraph projection solver (Epsilon) instead of cone-form solversgeneral DCP problems · Lasso, MNIST, sparse inv. cov., robust SVM, robust regression, SVDD, sum-k-largest softmaxrunning time to same objectiveHelped
Epigraph projection solver (Epsilon) instead of cone-form solversRobust SVM · Robust SVMrunning time (s)Mixed
Epigraph projection solver (Epsilon) instead of cone-form solversSum-k-largest softmax · Sum-k-largest softmaxrunning time (s)Mixed
Epigraph projection solver (Epsilon) instead of cone-form solversRobust regression · Robust regressionrunning time (s)No clear effect

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy