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Simple rules for complex decisions

Simple rules for complex decisions

15 February 2017
Jongbin Jung
Connor Concannon
Ravi Shroff
Sharad Goel
D. Goldstein
    CML
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Papers citing "Simple rules for complex decisions"

12 / 12 papers shown
Title
AI for Anticipatory Action: Moving Beyond Climate Forecasting
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
32
0
0
28 Jul 2023
Causal inference in drug discovery and development
Causal inference in drug discovery and development
T. Michoel
J. Zhang
CML
38
17
0
29 Sep 2022
Optimal randomized classification trees
Optimal randomized classification trees
R. Blanquero
E. Carrizosa
Antonios Tsourdos
Dolores Romero Morales
19
47
0
19 Oct 2021
Interpreting Expert Annotation Differences in Animal Behavior
Interpreting Expert Annotation Differences in Animal Behavior
Megan Tjandrasuwita
Jennifer J. Sun
Ann Kennedy
Swarat Chaudhuri
Yisong Yue
19
8
0
11 Jun 2021
Classification with Strategically Withheld Data
Classification with Strategically Withheld Data
A. Krishnaswamy
Haoming Li
David B Rein
Hanrui Zhang
Vincent Conitzer
19
15
0
18 Dec 2020
Jointly Predicting Job Performance, Personality, Cognitive Ability,
  Affect, and Well-Being
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Pablo Robles-Granda
Suwen Lin
Xian Wu
S. D’Mello
Gonzalo J. Martínez
...
Stephen M. Mattingly
Shayan Mirjafari
E. Moskal
A. Striegel
Nitesh Chawla
14
21
0
10 Jun 2020
Sparsity in Optimal Randomized Classification Trees
Sparsity in Optimal Randomized Classification Trees
R. Blanquero
E. Carrizosa
Cristina Molero-Río
Dolores Romero Morales
33
46
0
21 Feb 2020
Fair and Unbiased Algorithmic Decision Making: Current State and Future
  Challenges
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
FaML
24
31
0
15 Jan 2019
How do Humans Understand Explanations from Machine Learning Systems? An
  Evaluation of the Human-Interpretability of Explanation
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
Menaka Narayanan
Emily Chen
Jeffrey He
Been Kim
S. Gershman
Finale Doshi-Velez
FAtt
XAI
55
241
0
02 Feb 2018
Interpretability via Model Extraction
Interpretability via Model Extraction
Osbert Bastani
Carolyn Kim
Hamsa Bastani
FAtt
29
129
0
29 Jun 2017
Interpreting Blackbox Models via Model Extraction
Interpreting Blackbox Models via Model Extraction
Osbert Bastani
Carolyn Kim
Hamsa Bastani
FAtt
35
170
0
23 May 2017
Computing Human-Understandable Strategies
Computing Human-Understandable Strategies
Sam Ganzfried
Farzana Yusuf
11
9
0
19 Dec 2016
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