Daniel Malinsky
9 papers · 2016–2023 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (7) π Cross-Pollinator (13)
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Keyword Pioneer
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Hot Topic Early Bird
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Trend Setter
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Unstoppable
(5)
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Conference Pioneer
Conferences
AISTATS (3)
UAI (2)
CLEAR (1)
ICML (1)
JMLR (1)
PGM (1)
Top co-authors
Keywords
causal inference
(6)
graphical model
(4)
causal discovery
(2)
causal structure learning
(2)
structural equation model
(2)
structure learning
(2)
constrained optimization
(2)
latent variable
(1)
causal effect
(1)
inverse probability weighting
(1)
differentiable optimization
(1)
fairness constraint
(1)
algorithm comparison
(1)
missing datum
(1)
predictive model
(1)
potential outcome
(1)
path-specific effect
(1)
fair decision-making
(1)
unmeasured confounding
(1)
network dependence
(1)
Papers
Causal inference with outcome-dependent missingness and self-censoring
UAI 2023
Optimal Training of Fair Predictive Models
CLEAR 2022
Differentiable Causal Discovery Under Unmeasured Confounding
AISTATS 2021
algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD
JMLR 2020
Learning Optimal Fair Policies
ICML 2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
AISTATS 2019
Learning the Structure of a Nonstationary Vector Autoregression
AISTATS 2019
Causal Inference Under Interference And Network Uncertainty
UAI 2019
Estimating Causal Effects with Ancestral Graph Markov Models
PGM 2016