đ The signal we need in optimization + 5 more news to stay ahead of OR
Search space: your dose of OR discoveries
Hey, Borja here! đ
Consider these new posts on Saturdays your dose of OR discoveries without the time investment of finding them yourself.
In summary: a curated list of news.
đ The signal you need to know: optimization is getting pushed by several fields. Next NeurIPS conference in San Diego is hosting a workshop on GPU-accelerated and scalable optimization. Exciting times ahead! Via Tobia Marcucci.
đč In most real-world applications (especially in supply chain, logistics, and planning) MILP models and heuristics dominate, but how to structure and tune them for sequential, uncertain environments? Rethinking MILP as a Policy is a practical implementation of the Sequential Decision Analytics framework using Gurobi. By Adam DeJans Jr.
đ Accelerating MIP solvers is becoming a trend. Youâll do it with a new framework called Kernel Pump, a new heuristic framework designed to find an initial feasible solution to any generic MILP problem. Improves success rate compared to Feasibility Pump, reduces average running times, and find feasible solutions in cases where CPLEX fails within one hour. Via Lucas Assunçao de Almeida.
đ§ Understand the way in which data is transformed into better business outcomes through improved operational decision making: listen to The Decision Intelligence Lab, a podcast that explores the many diverse links in this information value chain, which is now being referred to as Decision Intelligence. Hosted by Vijay Mehrotra and Michael Watson, former OR entrepreneurs who launched successful businesses before becoming full-time university faculty members.
âĄïž Energy-based Transformers are more powerful than the current feed-forward propagation methods, or so that say Yann LeCun. You can read one interesting paper here by Alexi Gladstone.
đ Speaking of which, researchers from Harvard and MIT have published the most interesting study on the abilities of AI models today: can they develop internal world models, or do they stop at being great predictors of token sequences? Read the full write-up, via Alberto Romero GarcĂa.
Found something I should see? Send it my way and Iâll credit you next week.
In the meantimeâŠ
Letâs keep optimizing,
Borja.
Thanks for sharing, Borja! đ