LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm

Author:

Ai Meng1,Li Biao1,Gong Heyang2,Yu Qingwei1,Xue Shengjie1,Zhang Yuan1,Zhang Yunzhou1,Jiang Peng1

Affiliation:

1. Kuaishou Inc., China

2. Kuaishou Inc., China and University of Science and Technology of China, China

Publisher

ACM

Reference31 articles.

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2. Susan Athey Julie Tibshirani and Stefan Wager. 2018. Generalized Random Forests. (2018). arxiv:1610.01271 [stat.ME] Susan Athey Julie Tibshirani and Stefan Wager. 2018. Generalized Random Forests. (2018). arxiv:1610.01271 [stat.ME]

3. Shuyang Du , James Lee , and Farzin Ghaffarizadeh . 2019 . Improve User Retention with Causal Learning. In The 2019 ACM SIGKDD Workshop on Causal Discovery. PMLR, 34–49 . Shuyang Du, James Lee, and Farzin Ghaffarizadeh. 2019. Improve User Retention with Causal Learning. In The 2019 ACM SIGKDD Workshop on Causal Discovery. PMLR, 34–49.

4. Martin  E Dyer . 1984. An O (n) algorithm for the multiple-choice knapsack linear program. Mathematical programming 29, 1 ( 1984 ), 57–63. Martin E Dyer. 1984. An O (n) algorithm for the multiple-choice knapsack linear program. Mathematical programming 29, 1 (1984), 57–63.

5. Dominance in multi-dimensional multiple-choice knapsack problems;Dyer E;Asia-Pacific Journal of Operational Research,1998

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