Probabilistic Modeling

Differentiable Expectation-Maximization for Set Representation Learning ICLR 2022 Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Discrete Tree Flows via Tree-Structured Permutations ICML 2022 Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs NeurIPS 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022 DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis CVPR 2022 DPSampler: Exact Weighted Sampling Using Dynamic Programming IJCAI 2022 Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NeurIPS 2022 Efficient identification of informative features in simulation-based inference NeurIPS 2022 Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022 EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022 Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling ICLR 2022 Embrace the Gap: VAEs Perform Independent Mechanism Analysis NeurIPS 2022 Emotion-Shift Aware CRF for Decoding Emotion Sequence in Conversation Interspeech 2022 Empirical bayes approach to truth discovery problems UAI 2022 EM’s Convergence in Gaussian Latent Tree Models COLT 2022 Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022 Epistemic Logic of Likelihood and Belief IJCAI 2022 Evidential Turing Processes ICLR 2022 Exchangeability-Aware Sum-Product Networks IJCAI 2022 Explaining Deep Tractable Probabilistic Models: The sum-product network case PGM 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination NeurIPS 2022