atlas

Research map / Learning theory and algorithms / Combinatorial and search optimization

Inference in Graphical Models via Semidefinite Programming Hierarchies

NeurIPS 2017 · Learning theory and algorithms › Combinatorial and search optimization · approach: Predict-then-optimize learning · 15 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
Use triangle-region PSOS(4) with CLAP rounding instead of BP or GBPMAP inference on 2D-grid Ising spin glasses · Ising spin glasses, 800 experimentsobjective valueHelped
Use triangle-region PSOS(4) with CLAP rounding instead of BP or GBPbinary-image denoising · 2D-grid image denoising, i.i.d. and blockwise noisereconstruction qualityHelped
Increase the Burer-Monteiro rank beyond 10 (ablation)PSOS(4) · n=400 square latticeobjective valueNo 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