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🎪 Convex Optimization
Gradient Methods, Duality, Convex Sets, Global Minima
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Convex
Optimization with
Nonseparable
Costs and Constraints
arxiv.org
·
20h
⛰️
Gradient Descent
Natural
Hypergradient
Descent
: Algorithm Design, Convergence Analysis, and Parallel Implementation
arxiv.org
·
20h
⛰️
Gradient Descent
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
1d
·
Discuss:
Hacker News
⛰️
Gradient Descent
Wahba
’s Problem and SO(3) Optimization:
Rotation
Learning in Geometric ML
hackernoon.com
·
1d
🗺️
Manifold Learning
A training
principle
for
drifting
models
breno.bearblog.dev
·
14h
⛰️
Gradient Descent
BetaZero
V2: A Diffusion Model for Setting
Boulder
Problems
evmojo37.substack.com
·
2h
·
Discuss:
Substack
⛰️
Gradient Descent
Show HN: Solving
Sudoku
reasoning via Energy
Geometric
models
davisgeometric.com
·
16h
·
Discuss:
Hacker News
📐
Computational Geometry
Heterogeneous multi-agent
proximal
policy optimization based control of solid oxide
electrolysis
and wind turbine generator for fast frequency response
sciencedirect.com
·
5h
⛰️
Gradient Descent
Generalized
Lanczos
method for systematic optimization of neural-network quantum states
link.aps.org
·
15h
⛰️
Gradient Descent
Designing
Polynomials
Using the Sum of
Gradients
at the Roots
pub.towardsai.net
·
10h
⛰️
Gradient Descent
Solving
SIS
in any
norm
via Gaussian sampling
eprint.iacr.org
·
1d
⛰️
Gradient Descent
Gradient-based identification of
hydraulic
resistance for optimal pump control in
meshed
district heating network
sciencedirect.com
·
1d
⛰️
Gradient Descent
Determining
the Chemical Potential via Universal
Density
Functional Learning
journals.aps.org
·
18h
🗺️
UMAP
Image Classification with
CNNs
– Part 3: Understanding Max
Pooling
and Results
dev.to
·
5h
·
Discuss:
DEV
🗺️
UMAP
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
1d
·
Discuss:
Hacker News
⛰️
Gradient Descent
Task 7: Implement
VFI/EGM
numerical solver · Issue #20
github.com
·
12h
📐
Computational Geometry
Diffusion Models for
ARC-AGI
: A
Retrospective
christopherhwood.com
·
1d
·
Discuss:
Hacker News
🗺️
UMAP
Grassmannian
Manifold
Learning: Optimization and Deep Learning Architectures
hackernoon.com
·
1d
🗺️
Manifold Learning
Order
parameters
and phase transitions of
continual
learning in deep neural networks
pnas.org
·
1d
⛰️
Gradient Descent
How We Built the Fastest
Kimi
K2.5
on Artificial Analysis
baseten.co
·
1d
·
Discuss:
Hacker News
⛰️
Gradient Descent
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