Probabilistic Modeling

Learning Ising and Potts Models with Latent Variables AISTATS 2020 Learning Latent Space Energy-Based Prior Model NeurIPS 2020 Learning LWF Chain Graphs: A Markov Blanket Discovery Approach UAI 2020 Learning Probabilistic Sentence Representations from Paraphrases ACL 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Learning to Learn Variational Semantic Memory NeurIPS 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting AAAI 2020 Learning Weighted Model Integration Distributions AAAI 2020 Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NeurIPS 2020 Lifted Hybrid Variational Inference IJCAI 2020 Lifted Query Answering in Gaussian Bayesian Networks PGM 2020 Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NeurIPS 2020 Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020 Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NeurIPS 2020 MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020 Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions AISTATS 2020 Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2020 Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization ICLR 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NeurIPS 2020 Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020 Mixed-Membership Stochastic Block Models for Weighted Networks UAI 2020 Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty COLING 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NeurIPS 2020 Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement AAAI 2020 Modeling Shared responses in Neuroimaging Studies through MultiView ICA NeurIPS 2020