Sebastian Weichwald
8 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(10)
Conferences
JMLR (3)
NIPS (2)
UAI (2)
AISTATS (1)
Top co-authors
Keywords
causal inference
(3)
causal order
(2)
causal discovery
(2)
independent component analysis
(1)
structure learning
(1)
automatic differentiation
(1)
time series
(1)
manifold optimization
(1)
causal model
(1)
confounding adjustment
(1)
instrumental variable
(1)
dag structure
(1)
additive noise model
(1)
second order optimization
(1)
coefficient of determination
(1)
category theory
(1)
model abstraction
(1)
interventional model
(1)
optimization on manifold
(1)
confounding-robust estimation
(1)
Papers
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
AISTATS 2025
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
JMLR 2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning
UAI 2024
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
NIPS 2023
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
NIPS 2021
Compositional abstraction error and a category of causal models
UAI 2021
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise
JMLR 2019
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
JMLR 2016