arXiv Machine Learning
Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
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Stochastic Sequential Search in Very-High-Dimensional Feature Selection
arXiv:2608. 01502v1 Announce Type: new Abstract: Sequential subset search -- forward selection with floating backtracking and its descendants -- remains the quality reference in feature selection, but every member of the family sweeps the full pool of remaining candidate features at each step, which excludes it from very-high-dimensional problems; there, only individual-feature ranking remains practical, and it models feature interplay weakly or not at all.
arXiv Machine Learning
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HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC
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arXiv Machine Learning
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Echo Flow Networks
arXiv:2509. 24122v3 Announce Type: replace Abstract: At the heart of time-series forecasting (TSF) lies a fundamental challenge: how can models efficiently and effectively capture long-range temporal dependencies across ever-growing sequences?
arXiv Machine Learning
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Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts
arXiv:2608. 01740v1 Announce Type: new Abstract: Training-free feature forecasting accelerates diffusion sampling by predicting features at skipped denoising steps.
arXiv AI
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Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction
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Hugging Face Trending Papers
Aug 3
Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts
Training-free feature forecasting accelerates diffusion sampling by predicting features at skipped denoising steps. Recent work has mainly focused on designing stronger forecasters.