📐 ML Theory - chris1 · Scour

Functionals 📡Information Theory

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 🤖Machine Learning

Training a Transformer to Compose One Step Per Layer (and Proving It) 💬LLMs

lesswrong.com·4d

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts 🤖Machine Learning

Toward intelligent and resilient microgrids: A survey of machine learning approaches for renewable energy integration 🤖Machine Learning

sciencedirect.com·5d

Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Making 🎮Reinforcement Learning

eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem 🤖Machine Learning

Physics-guided low-quality data set enhancement method for machine learning of vapor compression heat pump system 🤖Machine Learning

sciencedirect.com·5d

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients 💬LLMs

Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms 🧮Algorithms

MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese 💬LLMs

Quantamination: Dynamic Quantization Leaks Your Data Across the Batch 🤖Machine Learning

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees 🎮Reinforcement Learning

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training 💬LLMs

Model-agnostic information transfer and fusion for classification with label noise 🤖Machine Learning

Mixture of Experts Framework in Machine Learning Interatomic Potentials for Atomistic Simulations 🤖Machine Learning

Hyperstatistics ∑Math

arxiv.org·1d·Hacker News

On weak greedy algorithms 🧮Algorithms

Efficient Multivariate Kelly Optimization Reveals Sigmoidal Scaling Laws 🤖Machine Learning

Largest eigenvalue and top eigenvector statistics of large Euclidean random matrices 📡Information Theory

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