Multiclass Classification without Labels via Posterior Simplex Geometry
Raphaël Bonnet-Guerrini, Johann Ioannou-Nikolaides, Troels Petersen, Vincenzo Piuri
cs.LG, astro-ph.GA, cs.AI, stat.ML
Submitted: 2026-07-27
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Computing a Nonnegative Matrix Factorization -- Provably
- A Practical Algorithm for Topic Modeling with Provable Guarantees
- A Simple Framework for Contrastive Learning of Visual Representations
- Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
- Provably End-to-end Label-Noise Learning without Anchor Points
- Learning from Label Proportions: A Mutual Contamination Framework
- MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks