Entity · paper

Fundamental limits of distributed multiclass classification from simple binary decisions

paperactiveprovisionalfundamental-limits-of-distributed-multiclass-classification-from-simple-binary-decisions-c9c90b53·1 events·first seen Jul 22, 2026

Aliases: Fundamental limits of distributed multiclass classification from simple binary decisions

More like this (12)

Robust Classification multimodal classification models Bayesian decision theory Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation Riemannian classifiers Neural Classification Trees Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier LLM-based content classification Conformal Decision Theory Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification

Recent events (1)

3arXiv · cs.LG·Jul 22, 2026·source ↗

Fundamental limits of distributed multiclass classification from binary decisions

This arXiv paper analyzes the theoretical performance limits of constructing a K-class classifier from O(log K) binary classifiers, a paradigm relevant to distributed or hierarchical classification systems. The authors focus on hyperplane binary classifiers in a stylized Gaussian setting, deriving explicit performance bounds across decoding and dimensional regimes. Results are validated with simulation experiments.

Evaluation and Benchmarking Fundamental limits of distributed multiclass classification from simple binary decisions