Christoph Molnar
@christophmolnar.bsky.social did:plc:l3zkaaeogtmigemy7oi45sot
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
Bluesky’a katılma tarihi:
- Takipçi
- 6.273
- Takip edilen
- 966
- Post
- 143
- Sıralamaya girdiği gün
- 0
Özet
Christoph Molnar (@christophmolnar.bsky.social), 12 Kasım 2024 tarihinde katılan bir Bluesky kullanıcısı. 6.273 takipçisi var, 966 hesabı takip ediyor ve 143 post paylaştı.
Sıralama geçmişi
Bu hesabın postlarının Debya günlük listesine girdiği en iyi günler.
Bu hesap henüz günlük sıralamaya girmedi.
Son beğendiği postlar
Bluesky ağındaki herkese açık beğeniler.
Sounds interesting? Have a look at our paper! Joint work with Eric Günther and @ulrikeluxburg.bsky.social.
Postu gösterDIP is ✅ unique under mild assumptions, ✅ easy to interpret, ✅ entails an efficient estimation procedure, ✅ describes properties of the data (instead of just a specific model), and ✅ comes with a python implementation (github.com/gcskoenig/dipd).
Postu gösterDependencies are not only a neglected cooperative force but also complicate the definition and quantification of feature interactions. In particular, the contributions of interactions and dependencies may cancel each other out and must be disentangled to be fully revealed.
Postu gösterFor example, suppose we predict kidney function (Y) from creatinine (C) and muscle mass (M), and that C reflects Y but also M, which is not linked to Y. Here, M becomes useful once combined with C, as it allows us to subtract irrelevant variation from C. In other words, C&M cooperate via dependence!
Postu gösterDetermining whether variables are relevant due to cooperation is crucial, as variables that cooperate must be considered jointly to understand their relevance. Notably, features cooperate not only through interactions but also through statistical dependencies, which existing methods neglect.
Postu göster
Blokladığı hesaplar
Bluesky’da bloklar herkese açık kayıtlardır.
