Nicolai Meinshausen
12 papers · 2006–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Full 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (24)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(5)
📈
Trend Setter
💎
Century Club · Bronze
🗃️
Keyword Collector
(74)
Venues
Top co-authors
Research topics
Keywords
high-dimensional regression
(3)
conditional distribution
(3)
random forest
(3)
random projection
(2)
uncertainty quantification
(2)
causal inference
(2)
feature interaction
(2)
binary classification
(1)
statistical inference
(1)
dimensionality reduction
(1)
causal effect estimation
(1)
dimension reduction
(1)
cross validation
(1)
time series
(1)
feature distribution
(1)
kernel regression
(1)
stochastic gradient descent
(1)
sensitivity analysis
(1)
causal discovery
(1)
nonparametric regression
(1)
Papers
Confidence and Uncertainty Assessment for Distributional Random Forests
JMLR 2023
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
JMLR 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
NeurIPS 2022
Fair Data Adaptation with Quantile Preservation
JMLR 2020
Spectral Deconfounding via Perturbed Sparse Linear Models
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
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
AISTATS 2016
Scalable Adaptive Stochastic Optimization Using Random Projections
NeurIPS 2016
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
NeurIPS 2015
Random Intersection Trees
JMLR 2014
Quantile Regression Forests
JMLR 2006