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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

Tensor Variable Elimination for Plated Factor Graphs ICML 2019 textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR ICLR 2019 That’s Mine! Learning Ownership Relations and Norms for Robots AAAI 2019 The Functional Neural Process NeurIPS 2019 The Interplay of Emotions and Norms in Multiagent Systems IJCAI 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The problem with probabilistic DAG automata for semantic graphs NAACL 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs ICCV 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling for Multinomial Logit Contextual Bandits NeurIPS 2019 Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams Interspeech 2019 Towards Hardware-Aware Tractable Learning of Probabilistic Models NeurIPS 2019 Towards Zero-shot Language Modeling EMNLP 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling ICLR 2019 Trust Region Sequential Variational Inference ACML 2019 U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps ICCV 2019 Uncertainty on Asynchronous Time Event Prediction NeurIPS 2019 Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019 Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NeurIPS 2019 Universal Boosting Variational Inference NeurIPS 2019 Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach AAAI 2019 Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019