atlas

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

Min-Max Propagation

NeurIPS 2017 · Learning theory and algorithms › Combinatorial and search optimization · approach: Structure and complexity of constraint reasoning · 3 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 min-value decimation instead of max-support decimation (ablation)min-max propagation on makespan · Makespan identical machines (Fig. 6)min-max ratio to lower bound (lower is better)Mixed
Min-max propagation (max-support decimation) vs LPT on identical-machine makespanmin-max propagation · Makespan identical machines (Fig. 6)min-max ratio to lower bound (lower is better)Mixed
Min-max propagation vs Vinyals et al. 2013 on unrelated-machine makespanmin-max propagation · Makespan unrelated machines (Fig. 7)min-max ratio to LP relaxation (higher is better)Mixed
Sum-product reduction with PBP vs min-max propagation on random Erdos-Renyi min-max instancessum-product reduction (PBP CSP solver) · Random min-max graphs N=10,100, D=4,6,8min-max solution value (lower is better)Helped
Decimation scheme choice (random, min-value, max-support) (ablation)min-max propagation on random graphs · Random min-max graphsmin-max solution 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