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A Bayesian Approach to Tackling Hard Computational Problems, , , , , and . Proceedings of the 17th Conference on Uncertainty and Artificial Intelligence, Seattle, WA, August 2001, page 235--244. Morgan Kaufmann, San Francisco, CA, (2000)Algorithm portfolios, and . Artif. Intell., 126 (1-2): 43--62 (2001)Probabilistic planning with non-linear utility functions and worst-case guarantees., , , and . AAMAS, page 965-972. IFAAMAS, (2012)Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation., , and . AAMAS, page 1419-1420. IFAAMAS, (2010)Learning Policies for Battery Usage Optimization in Electric Vehicles., , , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 195-210. Springer, (2012)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)An improved approximation algorithm for the partial Latin square extension problem., , and . Oper. Res. Lett., 32 (5): 479-484 (2004)Efficient projection algorithms onto the weighted ℓ1 ball., , , and . Artif. Intell., (2022)Automating crystal-structure phase mapping by combining deep learning with constraint reasoning., , , , , , , , , and . Nat. Mach. Intell., 3 (9): 812-822 (2021)On the Erdos Discrepancy Problem., , and . CoRR, (2014)