Distributed Execution: Challenges and Strategies

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Explores heuristic optimization methods to find the global optimum efficiently.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search

Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, alpha-beta pruning, and Monte-Carlo tree search.

Understanding Generalization: Implicit Bias & Optimization

Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.