Davin Choo
16 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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(15)
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Conferences
ICML (5)
AISTATS (3)
AAAI (2)
NIPS (2)
ALT (1)
CLEAR (1)
COLT (1)
UAI (1)
Top co-authors
Keywords
approximation algorithm
(4)
causal discovery
(4)
causal graph
(3)
sample complexity
(3)
graphical model
(3)
learning theory
(2)
causal dag
(2)
causal inference
(2)
directed acyclic graph
(2)
markov equivalence class
(2)
bayesian network
(2)
graph algorithm
(2)
tensor decomposition
(1)
computational complexity
(1)
structure learning
(1)
causal structure learning
(1)
high-dimensional inference
(1)
k-means clustering
(1)
pac learning
(1)
signal-to-noise ratio
(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
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
CLEAR 2025
Learning multivariate Gaussians with imperfect advice
ICML 2025
Online bipartite matching with imperfect advice
ICML 2024
Causal Discovery under Off-Target Interventions
AISTATS 2024
Learning bounded-degree polytrees with known skeleton
ALT 2024
Learning and Testing Latent-Tree Ising Models Efficiently
COLT 2023
Subset verification and search algorithms for causal DAGs
AISTATS 2023
Active causal structure learning with advice
ICML 2023
New metrics and search algorithms for weighted causal DAGs
ICML 2023
Adaptivity Complexity for Causal Graph Discovery
UAI 2023
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
AISTATS 2022
Verification and search algorithms for causal DAGs
NIPS 2022
The Complexity of Sparse Tensor PCA
NIPS 2021
k-means++: few more steps yield constant approximation
ICML 2020