Tag: causal machine learning
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Minimax Optimality & Spectral Routing for Markov-Dependent Ensembles
Explore minimax optimality and adaptive spectral routing to improve majority-vote ensembles under Markov dependence in machine learning tasks.
Reinforcement Learning for Explainable Sentiment Analysis
Discover how reinforcement learning enhances sentiment analysis by aligning AI reasoning with human rationale for better accuracy and interpretability.
Peer-Predictive Self-Training Boosts Language Model Reasoning
Discover how Peer-Predictive Self-Training improves language model reasoning accuracy without external supervision using collaborative learning.
Adaptive Diffusion Model for Inorganic Crystal Generation
Discover inorganic crystal structures using a finetuning-free diffusion model with adaptive constraints and robust validation for reliable materials design...
Robust Neural Operators with Active Learning & Denoising
Enhance neural operator robustness using synergistic active learning and input denoising to reduce adversarial errors and improve safety-critical system re...