Chandler Squires
16 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(13)
🔬
Deep Specialist
(12)
🧬
Topic Evolution
🗃️
Keyword Collector
(51)
🚀
Conference Pioneer
📈
Trend Setter
🔥
Unstoppable
(8)
💎
Century Club
(16)
Conferences
CLEAR (5)
NIPS (5)
AISTATS (4)
ICML (1)
UAI (1)
Top co-authors
Keywords
causal inference
(6)
causal discovery
(5)
latent variable
(4)
directed acyclic graph
(4)
causal graph
(3)
interventional datum
(3)
structure learning
(2)
causal disentanglement
(2)
gene regulatory network
(2)
markov equivalence class
(2)
causal model
(2)
causal structure
(2)
latent factor model
(2)
causal dag
(2)
experimental design
(1)
gene expression
(1)
structural learning
(1)
causal structure learning
(1)
causal reasoning
(1)
active learning
(1)
Papers
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
CLEAR 2025
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
CLEAR 2025
Synthetic Potential Outcomes and Causal Mixture Identifiability
AISTATS 2025
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
CLEAR 2024
Unpaired Multi-Domain Causal Representation Learning
NIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
NIPS 2023
Linear Causal Disentanglement via Interventions
ICML 2023
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors
CLEAR 2022
Causal Imputation via Synthetic Interventions
CLEAR 2022
Matching a Desired Causal State via Shift Interventions
NIPS 2021
Permutation-Based Causal Structure Learning with Unknown Intervention Targets
UAI 2020
Active Structure Learning of Causal DAGs via Directed Clique Trees
NIPS 2020
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
AISTATS 2020
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models
AISTATS 2019
Direct Estimation of Differences in Causal Graphs
NIPS 2018