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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NIPS 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NIPS 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021
Impression learning: Online representation learning with synaptic plasticity NIPS 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics NIPS 2021
Antipodes of Label Differential Privacy: PATE and ALIBI NIPS 2021
Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021
Functional Variational Inference based on Stochastic Process Generators NIPS 2021
Bayesian Parametric and Architectural Domain Adaptation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition INTERSPEECH 2021
Learning local modules in dynamic networks L4DC 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NIPS 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NIPS 2021
A statistical perspective on distillation ICML 2021
The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021
Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning INTERSPEECH 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021
Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021
Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021