Online Learning and Bandits
Isotropic Spaces and HDC
Generative AI from Variational Inference
Composite Optimization
Derivation of Quasi-Newton Methods
Basic Primal-Dual Optimization Methods
Non-Convexity and KKT
Frank-Wolfe and Convergence
Lagrange Multipliers and KKT Conditions
Dual Linear Programs
Discrete Flow Matching
Diffusion Over Autoregression
VQ-VAE and Latent Space
KANs and UAT
Basic SSRL and FlowCapsules
InstantSplat
Building up to Vision Mamba
Building up to FlashAttention-2
An Overview of RWKV
RT-1 and RT-2
Building Up to SAMURAI
Space-Time Correspondence Networks
Building Up to ConvMixer
Gaussian Splatting Overview
Swim Transformer Paper
A Tiny Overview of Diffusion-LM
OrthCaps Research Paper
Capsule Network Overview