Nicolai Meinshausen
12 papers · 2006–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (17)
🗺️
Taxonomy Completionist
(26)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(5)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(71)
💎
Century Club
(12)
📈
Trend Setter
Conferences
JMLR (8)
NIPS (3)
AISTATS (1)
Top co-authors
Keywords
random forest
(3)
conditional distribution
(3)
high-dimensional regression
(3)
feature interaction
(2)
random projection
(2)
causal inference
(2)
uncertainty quantification
(2)
binary classification
(1)
statistical inference
(1)
dimensionality reduction
(1)
causal effect estimation
(1)
dimension reduction
(1)
cross validation
(1)
quantile regression
(1)
feature distribution
(1)
linear regression
(1)
stochastic gradient descent
(1)
non-parametric regression
(1)
kernel regression
(1)
causal discovery
(1)
Papers
Confidence and Uncertainty Assessment for Distributional Random Forests
JMLR 2023
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
NIPS 2022
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
JMLR 2022
Spectral Deconfounding via Perturbed Sparse Linear Models
JMLR 2020
Fair Data Adaptation with Quantile Preservation
JMLR 2020
On $b$-bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data
JMLR 2018
The xyz algorithm for fast interaction search in high-dimensional data
JMLR 2018
Scalable Adaptive Stochastic Optimization Using Random Projections
NIPS 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
AISTATS 2016
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
NIPS 2015
Random Intersection Trees
JMLR 2014
Quantile Regression Forests
JMLR 2006