Titlebook: Algorithmic Decision Theory; 6th International Co Saša Pekeč,Kristen Brent Venable Conference proceedings 2019 Springer Nature Switzerland

staging

unstable-angina

Gradient Methods for Solving Stackelberg Games,ures for solving this type of games using gradient methods. We study time and space scalability of both approaches and discuss in which situation it is more appropriate to use each of them. Finally, we illustrate their use in an adversarial prediction problem.

chronicle

Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization,classification in a limited number of elicitation steps. We propose efficient strategies for computing the next question and show how its computation can be formulated as a linear program. We present experimental results showing the effectiveness of our approach.

BOOR

强所

https://doi.org/10.1007/978-3-030-31489-7artificial intelligence; automatic differentiation; autonomous agents; coalition formations; combinatori

Foment

978-3-030-31488-0Springer Nature Switzerland AG 2019

Substance-Abuse

https://doi.org/10.1007/b102376timization problems with imprecise preferences. We assume that the decision maker’s preferences over solutions can be represented by a parameterized scalarizing function but the parameters are initially not known. In our approach, the parameter imprecision is progressively reduced by iteratively ask

信条

https://doi.org/10.1007/b102376e extent to which a committee can change after we add/remove/swap one approval, and we consider the computational complexity of deciding how many such operations are necessary to change the set of winning committees. We also consider the counting variants of our problems, which can be interpreted as

Carcinogen

Missile