Probabilistic Modeling

Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2 NAACL 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 Graph Mixture Density Networks ICML 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021 How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information JMLR 2021 Hybrid-order Stochastic Block Model AAAI 2021 Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021 Implicit Generative Copulas NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NeurIPS 2021 Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021 Instance-Dependent Partial Label Learning NeurIPS 2021 Integrated Principal Components Analysis JMLR 2021 Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing EMNLP 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NeurIPS 2021 It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty AAAI 2021 Juice: A Julia Package for Logic and Probabilistic Circuits AAAI 2021 Kernel Stein Discrepancy Descent ICML 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Learning and testing junta distributions with sub cube conditioning COLT 2021