Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·16h
🎯Reinforcement Learning
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Deep Learning Without Training
🔥PyTorch
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Taming Chaos: Predicting Unpredictable Systems Without Guesswork by Arvind Sundararajan
📊Dynamic Programming
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Accelerating MySQL Query Optimization via Reinforcement Learning & Hypergraph Analysis
🔍Query Optimization
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Normalized tensor train decomposition
arxiv.org·16h
🧮Embeddings
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Waterfall Methodology AI: The Smart Evolution of Traditional Project Management
💬Prompt Engineering
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·2d
🧠Machine Learning
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Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
arxiv.org·1d
🧠Machine Learning
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Predictive Maintenance of Typhoon HIL Simulator Components via Sensor Fusion and Bayesian Optimization
🧠Machine Learning
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Energy Loss Functions for Physical Systems
arxiv.org·2d
📐Linear Algebra
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Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
arxiv.org·1d
🕸️Graph Theory
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Topographical sparse mapping: A training framework for deep learning models
👁️Computer Vision
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Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
arxiv.org·16h
🔬Deep Learning
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Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit
arxiv.org·16h
📊Dynamic Programming
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🎭Program Synthesis
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.org·2d
🔢NumPy
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On the relationship between MESP and 0/1 D-Opt and their upper bounds
arxiv.org·16h
📊Dynamic Programming
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