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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Differentiable Algorithm for Marginalising Changepoints AAAI 2020
Vector Quantization-Based Regularization for Autoencoders AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020
Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Residual Neural Processes AAAI 2020
Flexible Prior Elicitation via the Prior Predictive Distribution UAI 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020
Layering-MCMC for Structure Learning in Bayesian Networks UAI 2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Slice Sampling for General Completely Random Measures UAI 2020
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing EMNLP 2020
Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020
Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models EMNLP 2020
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020