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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 An Exact Approach to Learning Probabilistic Relational Model PGM 2016 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NeurIPS 2016 Answer-Type Prediction for Visual Question Answering CVPR 2016 Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016 A Probabilistic Collaborative Representation Based Approach for Pattern Classification CVPR 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues RSS 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making PGM 2016 A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NeurIPS 2016 Assessing Idiosyncrasies in a Bayesian Model of Speech Communication Interspeech 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NeurIPS 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks NeurIPS 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016 Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016 Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Bayesian Markov Blanket Estimation AISTATS 2016