Convergence and Sketching-Based Efficient Computation of Neural Tangent Kernel Weights in Physics-Based Loss
arxiv.org·23h
∂Automatic Differentiation
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October 2024 Progress in Guaranteed Safe AI
lesswrong.com·10h
🗣️Large Language Models
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Function-on-Function Bayesian Optimization
arxiv.org·2d
🎯Optimization Theory
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Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
arxiv.org·2d
📈Statistical Learning
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LLM-Driven Active Listwise Tournaments for Large Universe Portfolio Selection
🗣️Large Language Models
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Tractable Probabilistic Models for Investment Planning
arxiv.org·1d
🎯Optimization Theory
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Empowering Multi-Turn Tool-Integrated Reasoning with Group Turn Policy Optimization
arxiv.org·23h
🎮Reinforcement Learning
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KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
arxiv.org·1d
🎯Optimization Theory
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Contrastive Entropy Bounds for Density and Conditional Density Decomposition
arxiv.org·2d
∂Automatic Differentiation
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Learning with Statistical Equality Constraints
arxiv.org·1d
📈Statistical Learning
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MorphBoost: Self-Organizing Universal Gradient Boosting with Adaptive Tree Morphing
arxiv.org·2d
∂Automatic Differentiation
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Learning with Preserving for Continual Multitask Learning
arxiv.org·2d
🧠Deep Learning
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It's LIT! Reliability-Optimized LLMs with Inspectable Tools
arxiv.org·23h
🗣️Large Language Models
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Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization
arxiv.org·1d
🎮Reinforcement Learning
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Data Science Weekly – Issue 626
📊Data Science
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