David Page
18 papers · 2003–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Conference Polyglot (9)
π
Academic Marathon
(22)
π
Cross-Pollinator
(11)
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π±
Topic Pioneer
ποΈ
Keyword Collector
(97)
π
Trend Setter
π
Century Club
(18)
π₯
Unstoppable
(5)
Conferences
ICML (4)
NIPS (4)
JMLR (3)
AISTATS (2)
CLEAR (1)
IJCAI (1)
MLHC (1)
PGM (1)
UAI (1)
Top co-authors
Research topics
Keywords
graphical model
(5)
bayesian inference
(3)
electronic health record
(2)
causal inference
(2)
feature selection
(2)
probabilistic graphical model
(2)
binary classification
(1)
approximate inference
(1)
temporal modeling
(1)
convex optimization
(1)
structured prediction
(1)
structure learning
(1)
parameter estimation
(1)
em algorithm
(1)
variable selection
(1)
sparse estimation
(1)
knowledge representation
(1)
bayesian learning
(1)
ising model
(1)
causal discovery
(1)
Papers
Temporal Inverse Probability Weighting for Causal Discovery in Controlled BeforeβAfter Studies: Discovering ADEs in Generics
CLEAR 2025
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
MLHC 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NIPS 2024
Variable importance matching for causal inference
UAI 2023
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
ICML 2020
AUCΞΌ: A Performance Metric for Multi-Class Machine Learning Models
ICML 2019
Temporal Poisson Square Root Graphical Models
ICML 2018
Causal Structure Learning via Temporal Markov Networks
PGM 2018
A Screening Rule for l1-Regularized Ising Model Estimation
NIPS 2017
Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data
IJCAI 2016
Structure-Leveraged Methods in Breast Cancer Risk Prediction
JMLR 2016
Learning Heterogeneous Hidden Markov Random Fields
AISTATS 2014
Multiple Testing under Dependence via Semiparametric Graphical Models
ICML 2014
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models
NIPS 2013
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
AISTATS 2012
Multiplicative Forests for Continuous-Time Processes
NIPS 2012
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
JMLR 2009
ILP: A Short Look Back and a Longer Look Forward
JMLR 2003