Better Spotify Playlists through Discrete Optimization
Explore algorithmic playlist creation using music theory and optimization techniques to generate cohesive, mood-setting Spotify playlists. Includes live demos and audience participation.
Subexponential LPs Approximate Max-Cut
Explore subexponential linear programs for approximating Max-Cut, comparing LPs and SDPs, and examining refutation in pseudorandom graphs. Gain insights into combinatorial optimization techniques.
Robot DJs - Better Spotify Playlists through Music Theory and Discrete Optimization
Explore music theory and discrete optimization to create better Spotify playlists. Learn how to teach computers playlist-making rules and build algorithms for generating cohesive, mood-setting song collections.
Learning to Bound Using Decision Diagrams and Reinforcement Learning
Explore decision diagrams and reinforcement learning for tighter bounds in discrete optimization, enhancing branch-and-bound algorithms with improved variable ordering techniques.
Abstraction and Evolution with Large Language Models
Explore how large language models enhance genetic programming through concept-guided evolution, with applications in symbolic regression and image classification demonstrated through practical examples.