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Bandit problems are pervasive in various fields of research and are also present in several practical applications … one of the most popular bandit solutions, the original et-greedy heuristics, to high-dimensional contexts. Moreover, we … range of exploration of new actions. We find reasonable bounds for the cumulative regret of a decaying et-greedy heuristic …
Persistent link: https://www.econbiz.de/10012292092
operator (Lasso) method proposed by Tibshirani (1996) and extended into quantile regression context by Li and Zhu (2008). The …
Persistent link: https://www.econbiz.de/10011580445
operator (Lasso) method proposed by Tibshirani (1996) and extended into quantile regression context by Li and Zhu (2008). The …
Persistent link: https://www.econbiz.de/10011557306
Random Forests in combination with Stability Selection allow to estimate stable conditional independence graphs with an error control mechanism for false positive selection. This approach is applicable to graphs containing both continuous and discrete variables at the same time. Its performance...
Persistent link: https://www.econbiz.de/10011056520
We consider estimation of the causal effect of a sequential binary treatment (typically corresponding to a policy or a subsidy in the economic context) on a final outcome, when the treatment assignment at a given occasion depends on the sequence of previous assignments as well as on time-varying...
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