Bayesian & Probabilistic

Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 HyperSPNs: Compact and Expressive Probabilistic Circuits NeurIPS 2021 Identifying Norms from Observation Using MCMC Sampling IJCAI 2021 IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression ICLR 2021 Implicit Generative Copulas NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NeurIPS 2021 Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021 Improving Dialog Systems for Negotiation with Personality Modeling ACL 2021 Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021 Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach MLHC 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021 Infinite Time Horizon Safety of Bayesian Neural Networks NeurIPS 2021 Information Laundering for Model Privacy ICLR 2021 Instance-Dependent Partial Label Learning NeurIPS 2021 Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NeurIPS 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 Justicia: A Stochastic SAT Approach to Formally Verify Fairness AAAI 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Latent variable modeling with random features AISTATS 2021 Learnable uncertainty under Laplace approximations UAI 2021 Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021 Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing L4DC 2021