Graphical Models

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021 Deep Bucket Elimination IJCAI 2021 Deep Graph Matching Under Quadratic Constraint CVPR 2021 Dependency in DAG models with hidden variables UAI 2021 Dependency Parsing Evaluation for Low-resource Spontaneous Speech EACL 2021 Diffusion Network Inference from Partial Observations AAAI 2021 Diffusion Source Identification on Networks with Statistical Confidence ICML 2021 Efficient and Local Parallel Random Walks NeurIPS 2021 Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries AAAI 2021 Exploiting Equality Constraints in Causal Inference AISTATS 2021 Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021 Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice ICCV 2021 Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 Graph Algorithms for Multiparallel Word Alignment EMNLP 2021 GraphDF: A Discrete Flow Model for Molecular Graph Generation ICML 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 GraphReach: Position-Aware Graph Neural Network using Reachability Estimations IJCAI 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding CVPR 2021 Hybrid-order Stochastic Block Model AAAI 2021 Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021