David Heckerman
8 papers · 2000–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Bronze π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Trendsetter Combo
(11)
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Topic Evolution
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Keyword Pioneer
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Trend Setter
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Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(3)
Core Methods
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types
(1)
Optimization
(1)
Reasoning
(1)
Representation
(1)
Keywords
concept-based explanation
(1)
binary classification
(1)
structure learning
(1)
probabilistic inference
(1)
collaborative filtering
(1)
expectation maximization
(1)
model interpretability
(1)
regression
(1)
markov decision process
(1)
model-based clustering
(1)
value function
(1)
roc curve
(1)
sequential optimization
(1)
consistency
(1)
false positive
(1)
cost-sensitive learning
(1)
support vector machine
(1)
bayesian network
(1)
linear classifier
(1)
graphical model
(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