Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima
arxiv.org·5d
⛰️Gradient Descent
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Uncertainty-weighted with gradient-based to re-weight domain generalization for remaining useful life prediction of rotating machinery under unseen conditions
sciencedirect.com·39m
⛰️Gradient Descent
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Convexity Switching: The Secret to Faster, Smarter Neural Net Training?
⛰️Gradient Descent
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Deep Learning Part — 9 : Optimizers are what you need.
pub.towardsai.net·2d
⛰️Gradient Descent
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Weak-To-Strong Generalization
lesswrong.com·12h
📊Empirical Bayes
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Entropy in algorithm analysis
11011110.github.io·17h
🔗Markov Chains
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Handbook of Satisfiability (2021)
🔗Markov Chains
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
⛰️Gradient Descent
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1h
🗂️AnnData
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Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
arxiv.org·2d
⛰️Gradient Descent
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Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
arxiv.org·2d
🗺️Manifold Learning
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
📊Empirical Bayes
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Model-based optimization of energy efficiency in alkaline water electrolysis under current fluctuations
sciencedirect.com·18h
⛰️Gradient Descent
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<p>**Abstract:** This paper introduces Automated Design Optimization via Meta-Analytical HyperScore (ADOMAH), a novel framework for accelerating and enhancing t...
freederia.com·1d
⛰️Gradient Descent
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