Jiji Zhang
17 papers · 1999–2024 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12)
🏆
Keyword Champion
(6)
🔬
Deep Specialist
(10)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI
(10)
Knowledge & Reasoning
(9)
Reasoning
(9)
Machine Learning
(6)
Learning Types
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Mathematics
(1)
Keywords
causal discovery
(7)
markov equivalence
(6)
causal inference
(5)
causal identification
(4)
structure learning
(3)
graphical model
(3)
partial ancestral graph
(3)
causal effect
(3)
causal structure
(2)
conditional effect
(2)
causal orientation
(2)
bayesian network
(2)
exact search
(2)
causal diagram
(2)
non-stationary data
(2)
faithfulness assumption
(2)
counterfactual reasoning
(1)
heterogeneous data
(1)
latent variable
(1)
structural learning
(1)
Papers
Natural Counterfactuals With Necessary Backtracking
NeurIPS 2024
On Causal Discovery in the Presence of Deterministic Relations
NeurIPS 2024
Ancestral Instrument Method for Causal Inference without Complete Knowledge
IJCAI 2022
Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
NeurIPS 2022
Reframed GES with a neural conditional dependence measure
UAI 2022
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
NeurIPS 2021
Causal Discovery from Heterogeneous/Nonstationary Data
JMLR 2020
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
ALT 2020
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
IJCAI 2019
Causal Identification under Markov Equivalence: Completeness Results
ICML 2019
Identification of Conditional Causal Effects under Markov Equivalence
NeurIPS 2019
On Causal Identification under Markov Equivalence
IJCAI 2019
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams
IJCAI 2018
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination
IJCAI 2017
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables”
AISTATS 2011
Causal Reasoning with Ancestral Graphs
JMLR 2008
Generalized Do-Calculus with Testable Causal Assumptions
AISTATS 1999