Learning Optimal Classification Trees Robust to Distribution Shifts
- Nathan Lawrence Justin ,
Corresponding Author
Nathan Lawrence Justin
[email protected]http://orcid.org/0009-0004-6589-9907
University of Southern California, Los Angeles, California, 90089-0001, United States
- Sina Aghaei,
Sina Aghaei
[email protected]University of Southern California, Los Angeles, California, United States
- Andres Gomez ,
Andres Gomez
[email protected]http://orcid.org/0000-0003-3668-0653
University of Southern California, Los Angeles, California, 90089, United States
- Phebe Vayanos
Phebe Vayanos
[email protected]http://orcid.org/0000-0001-7800-7235
University of Southern California Viterbi School of Engineering, Industrial & Systems Engineering, Los Angeles, California, 90089, United States
Corresponding Author
Nathan Lawrence Justin
[email protected]http://orcid.org/0009-0004-6589-9907
University of Southern California, Los Angeles, California, 90089-0001, United States
Sina Aghaei
[email protected]University of Southern California, Los Angeles, California, United States
Andres Gomez
[email protected]http://orcid.org/0000-0003-3668-0653
University of Southern California, Los Angeles, California, 90089, United States
Phebe Vayanos
[email protected]http://orcid.org/0000-0001-7800-7235
University of Southern California Viterbi School of Engineering, Industrial & Systems Engineering, Los Angeles, California, 90089, United States
