Ali Tajer
16 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🏆
Keyword Champion
(3)
⚡
Prolific Year · Productive
❓
The Questioner
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(71)
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Core AI
(11)
Learning Types
(8)
Optimization & Theory
(8)
Knowledge & Reasoning
(5)
Reasoning
(5)
Mathematics & Optimization
(4)
Core Methods
(4)
Learning Paradigms
(3)
Bayesian & Probabilistic
(2)
Mathematics
(2)
Optimization
(2)
Deep Learning
(1)
Application Areas
(1)
Keywords
causal inference
(6)
causal representation learning
(4)
causal bandit
(3)
sample complexity
(3)
soft intervention
(3)
ising model
(2)
linear structural equation model
(2)
linear transformation
(2)
structure learning
(2)
intervention target
(2)
markov equivalence class
(2)
structural equation model
(2)
regret bound
(2)
causal discovery
(2)
graphical model
(2)
latent variable
(2)
precision matrix
(2)
regret minimization
(1)
causal structure learning
(1)
adversarial training
(1)
Papers
Multi-component Causal Tracing in Large Language Models
ACL 2026
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
AISTATS 2025
Score-based Causal Representation Learning: Linear and General Transformations
JMLR 2025
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
General Identifiability and Achievability for Causal Representation Learning
AISTATS 2024
Interventional Causal Discovery in a Mixture of DAGs
NeurIPS 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions
NeurIPS 2024
Linear Causal Representation Learning from Unknown Multi-node Interventions
NeurIPS 2024
Sample Complexity of Interventional Causal Representation Learning
NeurIPS 2024
Causal Bandits for Linear Structural Equation Models
JMLR 2023
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
AAAI 2023
Intervention target estimation in the presence of latent variables
UAI 2022
Learning Shared Subgraphs in Ising Model Pairs
AISTATS 2021
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
NeurIPS 2021
Scalable Intervention Target Estimation in Linear Models
NeurIPS 2021
Structure Learning with Side Information: Sample Complexity
NeurIPS 2019