Probabilistic Modeling

Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge CoRL 2018 Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain EMNLP 2018 Human-Centric Indoor Scene Synthesis Using Stochastic Grammar CVPR 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Identification of Alias Links among Participants in Narratives ACL 2018 Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Importance Weighting and Variational Inference NeurIPS 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018 Improving Topic Quality by Promoting Named Entities in Topic Modeling ACL 2018 Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018 Inference via Low-Dimensional Couplings JMLR 2018 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning a Mixture of Two Multinomial Logits ICML 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018 Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018 Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data EMNLP 2018 Learning latent variable structured prediction models with Gaussian perturbations NeurIPS 2018 Learning Non-parametric Markov Networks with Mutual Information PGM 2018