Davin Choo
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(78)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(11)
Artificial Intelligence
(10)
Core AI
(8)
Core Methods
(5)
Knowledge & Reasoning
(4)
Mathematics & Optimization
(4)
Reasoning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Mathematics
(2)
Computer Science
(1)
Foundations
(1)
Keywords
causal discovery
(4)
sample complexity
(4)
approximation algorithm
(4)
causal graph
(3)
graphical model
(3)
structure learning
(2)
learning theory
(2)
markov equivalence class
(2)
causal dag
(2)
graph algorithm
(2)
bayesian network
(2)
causal inference
(2)
directed acyclic graph
(2)
causal structure learning
(1)
high-dimensional inference
(1)
pac learning
(1)
causal effect estimation
(1)
k-means clustering
(1)
covariance matrix
(1)
bipartite matching
(1)
Papers
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
AAAI 2026
Learnability of Parameter-Bounded Bayes Nets
AAAI 2025
Learning multivariate Gaussians with imperfect advice
ICML 2025
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
CLeaR 2025
Causal Discovery under Off-Target Interventions
AISTATS 2024
Learning bounded-degree polytrees with known skeleton
ALT 2024
Online bipartite matching with imperfect advice
ICML 2024
Active causal structure learning with advice
ICML 2023
Adaptivity Complexity for Causal Graph Discovery
UAI 2023
Learning and Testing Latent-Tree Ising Models Efficiently
COLT 2023
New metrics and search algorithms for weighted causal DAGs
ICML 2023
Subset verification and search algorithms for causal DAGs
AISTATS 2023
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
AISTATS 2022
Verification and search algorithms for causal DAGs
NeurIPS 2022
The Complexity of Sparse Tensor PCA
NeurIPS 2021
k-means++: few more steps yield constant approximation
ICML 2020