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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017
Multiple Clustering Views from Multiple Uncertain Experts ICML 2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
Tractability in Structured Probability Spaces NIPS 2017
Dynamic Word Embeddings ICML 2017
Improving the Expected Improvement Algorithm NIPS 2017
Bayesian GAN NIPS 2017
Process-constrained batch Bayesian optimisation NIPS 2017
Deep Mean-Shift Priors for Image Restoration NIPS 2017
DP-EM: Differentially Private Expectation Maximization AISTATS 2017
Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Stein Variational Gradient Descent as Gradient Flow NIPS 2017
Identification of Gaussian Process State Space Models NIPS 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Non-parametric Structured Output Networks NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017
Concrete Dropout NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017
Performance Bounds for Graphical Record Linkage AISTATS 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
A Network Framework for Noisy Label Aggregation in Social Media ACL 2017