David Heckerman
8 papers · 2000–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (24) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Interdisciplinary Bridge
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(4)
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Topic Pioneer
📈
Trend Setter
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Conference Pioneer
Conferences
JMLR (5)
ICML (2)
ICLR (1)
Top co-authors
Keywords
binary classification
(1)
structure learning
(1)
probabilistic inference
(1)
collaborative filtering
(1)
expectation maximization
(1)
markov decision process
(1)
model-based clustering
(1)
value function
(1)
roc curve
(1)
sequential optimization
(1)
false positive
(1)
cost-sensitive learning
(1)
support vector machine
(1)
bayesian network
(1)
linear classifier
(1)
graphical model
(1)
learning curve
(1)
sampling method
(1)
treatment effect
(1)
recommender system
(1)
Papers
Multiply-Robust Causal Change Attribution
ICML 2024
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
ICML 2022
Debiasing Concept-based Explanations with Causal Analysis
ICLR 2021
Considering Cost Asymmetry in Learning Classifiers
JMLR 2006
An MDP-Based Recommender System
JMLR 2005
Large-Sample Learning of Bayesian Networks is NP-Hard
JMLR 2004
The Learning-Curve Sampling Method Applied to Model-Based Clustering
JMLR 2002
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
JMLR 2000