Daniel Malinsky
9 papers · 2016–2023 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Knowledge & Reasoning
(8)
Reasoning
(8)
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Optimization & Theory
(4)
Application Areas
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Learning Types
(1)
Methods
(1)
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 data
(1)
predictive model
(1)
potential outcome
(1)
path-specific effect
(1)
unmeasured confounding
(1)
network dependence
(1)
vector autoregression
(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
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
AISTATS 2019
Causal Inference Under Interference And Network Uncertainty
UAI 2019
Learning Optimal Fair Policies
ICML 2019
Learning the Structure of a Nonstationary Vector Autoregression
AISTATS 2019
Estimating Causal Effects with Ancestral Graph Markov Models
PGM 2016