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Papers
$σ$-Maximal Ancestral Graphs
UAI 2025
A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning
ACL 2025
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025
Backward Filtering Forward Guiding
JMLR 2025
Causal discovery in mixed additive noise models
AISTATS 2025
Causal Discovery via Bayesian Optimization
ICLR 2025
Causal Models for Growing Networks
UAI 2025
Causal Representation Learning from General Environments under Nonparametric Mixing
AISTATS 2025
Causal Temporal Regime Structure Learning
AISTATS 2025
Conformal Structured Prediction
ICLR 2025
Continuous Structure Constraint Integration for Robust Causal Discovery
AISTATS 2025
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning
JMLR 2025
DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback
EMNLP 2025
Differentiable Causal Structure Learning with Identifiability by NOTIME
AISTATS 2025
Differentiable Structure Learning with Ancestral Constraints
ICML 2025
Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation
ACL 2025
Directed Graph Grammars for Sequence-based Learning
ICML 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 2025
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
COLT 2025
Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches
IJCAI 2025
Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge
UAI 2025
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
AAAI 2025
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
IJCAI 2025
GC-VLN: Instruction as Graph Constraints for Training-free Vision-and-Language Navigation
CoRL 2025
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
AISTATS 2025