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Backdoors to Combinatorial Optimization: Feasibility and Optimality.

, , , , and . CPAIOR, volume 5547 of Lecture Notes in Computer Science, page 56-70. Springer, (2009)

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Statistical Regimes Across Constrainedness Regions., , , and . CP, volume 3258 of Lecture Notes in Computer Science, page 32-46. Springer, (2004)Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning., , and . Logical Methods in Computer Science, (2007)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)Tradeoffs in the Complexity of Backdoor Detection., , and . CP, volume 4741 of Lecture Notes in Computer Science, page 256-270. Springer, (2007)Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search., , and . Ann. Math. Artif. Intell., 70 (4): 399-431 (2014)Learning policies for battery usage optimization in electric vehicles., , , and . Mach. Learn., 92 (1): 177-194 (2013)A Bayesian Approach to Tackling Hard Computational Problems, , , , , and . CoRR, (2013)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)Probabilistic planning with non-linear utility functions and worst-case guarantees., , , and . AAMAS, page 965-972. IFAAMAS, (2012)Efficient projection algorithms onto the weighted ℓ1 ball., , , and . Artif. Intell., (2022)