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A Primer of Commutative Algebra
ash-a-course-in-commutative-algebra.pdf
0199202494.pdf
Communication Networks [F23]
Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.
kuitang/betheDiscrete: Discrete minimization of the Bethe free energy.
Kui Tang | *
Casimir Kothari
server.mcm.ac.cn/~zheng/av10/Abelian_Varieties.pdf
EE 276: Course Outline
[2501.18915v2] Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
Algebraic Stats | Honglang Wang's Blog
Select Star SQL
Foundations of Large Language Models
Seraphina Lee
lecturenotes.pdf
[2508.18178] Introduction to Regularization and Learning Methods for Inverse Problems
[1906.10652] Monte Carlo Gradient Estimation in Machine Learning
2010-Gozlan-Leonard-Transport inequalities-A survey.pdf
Reinforcement Learning for Combinatorial Optimization over Graphs
Trajectory Coupling
[1806.05500] Statistical Aspects of Wasserstein Distances
Probability in High Dimensions / Caltech ACM 217 / Winter 2023
10-708 – Lectures (tentative)
Advanced Optimization and Randomized Methods
Harvard AM205: Advanced Scientific Computing: Numerical Methods
E4810 - outline
[2401.00649] Linear Model and Extensions
[1011.3245] The Computational Complexity of Linear Optics
mix.pdf
Stochastic Calculus
Challenging epistemology: Interactive proofs and zero knowledge - ScienceDirect
Domingos 2012 Proceeds of the ACM - A Few Useful Things to Know About Machine Learning — » Douglas Yao
Gal Gross
COMS E6998-1 Advanced Topics in Programming Languages and Compilers
day1.pdf
Distributions
Math951Syl_S20.pdf
[1701.00160] NIPS 2016 Tutorial: Generative Adversarial Networks
1209.1077
Wayback Machine
tikzcd-editor
66f4c85b19ed90bc68859d5c_quant_finance_primer.pdf
Adam Chlipala
COMS W4721 Machine Learning for Data Science
Bayesian Models for Machine Learning
1806.05500
The Rising Sea: Foundations Of Algebraic Geometry Notes
[2509.11386v1] On the geometry of flat minima
Rockafeller & Wets