Flat-Consensus Diffusion for Robust Data Reshaping under Noisy Evaluator
cs.AI, cs.LG
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
- Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search
- Certified Adversarial Robustness via Randomized Smoothing
- Randomized Smoothing for Stochastic Optimization
- Denoising Diffusion Probabilistic Models
- Regularized Evolution for Image Classifier Architecture Search
- Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
- Mean estimation and regression under heavy-tailed distributions--a survey
- Sharpness-Aware Minimization for Efficiently Improving Generalization
- Dual-Agent Reinforcement Learning for Automated Feature Generation
- Dynamic and Adaptive Feature Generation with LLM
- Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
- LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
- Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
- Causally-Guided Diffusion for Stable Feature Selection
- Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
- Sharpness-Aware Gradient Matching for Domain Generalization
- Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
- Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
- Flat Minima and Generalization: Insights from Stochastic Convex Optimization
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