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Explore quantum walk algorithms with Jingbo Wang from the University of Western Australia, in a less than 1-hour presentation at IPAM, UCLA. Delve into efficient quantum circuit design and potential applications.
Explore integer optimization for predictive and prescriptive analytics in high-stakes domains with Phebe Vayanos from USC, in a short presentation by IPAM.
Explore decision-making under uncertainty with Bartolomeo Stellato's presentation at IPAM, UCLA. Learn data-driven methods and robust optimization techniques in under an hour.
Explore the fusion of machine learning and optimization with Pascal Van Hentenryck at IPAM, UCLA. Learn to enhance decision-making in energy systems, mobility, and supply chains.
Explore AI-guided nonlinear optimization for real-world problems with Yuandong Tian at IPAM, UCLA. Learn to leverage AI and existing solvers in under an hour.
Explore pricing strategies in online marketplaces with Stanford's Ellen Vitercik in this under 1-hour material from IPAM. Learn to balance high prices and customer reviews through online learning algorithms.
Explore efficient matrix multiplication algorithms with RL in a less than 1-hour session by Matej Balog of DeepMind, presented at IPAM's AI and Discrete Optimization Workshop.
Explore machine learning for MIP solving with Bistra Dilkina at IPAM's AI and Discrete Optimization Workshop. Less than 1-hour material.
Explore Google Brain's Vinod Nair's presentation on leveraging neural network accelerators for Maximum Satisfiability problems, offered by IPAM at UCLA.
Explore the aesthetics of formalized mathematics with Heather Macbeth's presentation at IPAM, UCLA, focusing on algorithms and abstractions in proofs.
Learn from James Davenport's presentation at IPAM's Machine Assisted Proofs Workshop on proving calculation correctness, with a focus on real algebraic geometry. Less than 1-hour material.
Explore SMT solving and quantifier reasoning with Pascal Fontaine from Université de Liège, in a short session by IPAM, UCLA. Delve into future developments in SMT.
Explore computational perspectives in mathematics and computer science with Anne Baanen's talk at IPAM, UCLA. Delve into class number computations and Lean library use.
Explore SMT solvers and machine-checkable certificates with Haniel Barbosa in a short lecture from IPAM, UCLA. Learn about cvc5's proof-production infrastructure redesign.
Explore the intersection of deep learning and mathematics with Geordie Williamson in this less than 1-hour material from IPAM at UCLA.
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