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Optimization Theory
🎯 Optimization Theory
Convex Optimization, Gradient Descent, Constraint Satisfaction
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72
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Multilevel
Stochastic
Gradient
Descent
for Risk-Averse PDE-Constrained Optimization
📊
Optimization
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
📊
Optimization
aarushgupta.io
·
23h
23 hours ago
·
Lobsters
,
Hacker News
Actions for Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Aligning Superintelligent Humans
📊
Optimization
lesswrong.com
·
6d
6 days ago
Actions for Aligning Superintelligent Humans
ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
📈
Statistical Learning
Content type:
Code
github.com
·
1d
1 day ago
·
Hacker News
Actions for ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
Less-relevant results
The Untrainable
📊
Optimization
Content type:
News
Content type:
Blog
saranormous.substack.com
·
18h
18 hours ago
·
Substack
Actions for The Untrainable
Gram
Newton-Schulz
: A Fast, Hardware-Aware
Newton-Schulz
Algorithm for Muon
📐
Linear Algebra
Content type:
Blog
tridao.me
·
1d
1 day ago
·
Hacker News
Actions for Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon
Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation
🗣️
Large Language Models
aermia.com
·
3d
3 days ago
·
Hacker News
Actions for Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation
Show HN: JazzBench, an LLM reasoning benchmark using jazz improvisation
∂
Automatic Differentiation
Content type:
Blog
flatnine.co
·
1d
1 day ago
·
Hacker News
Actions for Show HN: JazzBench, an LLM reasoning benchmark using jazz improvisation
Growing Pains of Starting a Secret Society
📊
Optimization
Content type:
Blog
mrmarket.bearblog.dev
·
1d
1 day ago
·
Hacker News
Actions for Growing Pains of Starting a Secret Society
Multi-ResNets for Subspace Preconditioning in
Constrained
Optimization
📊
Optimization
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Multi-ResNets for Subspace Preconditioning in Constrained Optimization
Optimal
Rates for Generalization of
Gradient
Descent
Methods with Deep Neural Networks
🧠
Deep Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
SAT-Physical
Thermodynamic Framework: treating
constraints
as a thermal system
🐍
Python
Content type:
Code
github.com
·
4d
4 days ago
·
Hacker News
Actions for SAT-Physical Thermodynamic Framework: treating constraints as a thermal system
Uniform Stability and Generalization Error of GD and SGD on
Fixed-Point
Parameters
📊
Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
An Ensembled Latent Factor Model via Differential Evolution and
Gradient
Descent
Optimization
📊
Optimization
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization
Second-Order Path Kernel Interpolation Formulas in Machine Learning
📊
Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Second-Order Path Kernel Interpolation Formulas in Machine Learning
Mankirat47/Dao-Heart-3.13: An inspectable, symbolic value governance layer for AI, simulate then commit guards for warmth, agency, identity, and honesty, with falsifiable benchmarks.
🐍
Python
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for Mankirat47/Dao-Heart-3.13: An inspectable, symbolic value governance layer for AI, simulate then commit guards for warmth, agency, identity, and honesty, with falsifiable benchmarks.
Noise-Adaptive High-Probability Regret Bounds for Online
Convex
Optimization
📊
Optimization
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Noise-Adaptive High-Probability Regret Bounds for Online Convex Optimization
Pseudospectral Bounds for Transient Amplification in Coupled
Gradient
Descent
📊
Optimization
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent
Flatland: The Adventures of
Gradient
Descent
with Large Step Sizes
📊
Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Flatland: The Adventures of Gradient Descent with Large Step Sizes
Meltedd/scarecrow: An adversarial frame pattern
optimizer
for evading automated license plate recognition, personalized to your plate.
📊
Optimization
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for Meltedd/scarecrow: An adversarial frame pattern optimizer for evading automated license plate recognition, personalized to your plate.
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