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Provable guarantees for decision tree induction: the agnostic setting

Provable guarantees for decision tree induction: the agnostic setting

1 June 2020
Guy Blanc
Jane Lange
Li-Yang Tan
ArXiv (abs)PDFHTML

Papers citing "Provable guarantees for decision tree induction: the agnostic setting"

5 / 5 papers shown
Title
Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making
Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making
Lei Bill Wang
Zhenbang Jiao
Fangyi Wang
92
0
0
24 Feb 2025
Decision tree heuristics can fail, even in the smoothed setting
Decision tree heuristics can fail, even in the smoothed setting
Guy Blanc
Jane Lange
Mingda Qiao
Li-Yang Tan
43
7
0
02 Jul 2021
Learning stochastic decision trees
Learning stochastic decision trees
Guy Blanc
Jane Lange
Li-Yang Tan
28
3
0
08 May 2021
Connecting Interpretability and Robustness in Decision Trees through
  Separation
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz
Yao-Yuan Yang
Kamalika Chaudhuri
74
23
0
14 Feb 2021
MurTree: Optimal Classification Trees via Dynamic Programming and Search
MurTree: Optimal Classification Trees via Dynamic Programming and Search
Emir Demirović
Anna Lukina
E. Hébrard
Jeffrey Chan
James Bailey
C. Leckie
K. Ramamohanarao
Peter Stuckey
135
64
0
24 Jul 2020
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