bayesian inference

Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NeurIPS 2020 Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NeurIPS 2020 Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift AAAI 2020 Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization MLHC 2020 Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models AISTATS 2020 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning ICLR 2020 Deep active inference agents using Monte-Carlo methods NeurIPS 2020 Depth Uncertainty in Neural Networks NeurIPS 2020 Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020 Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 Distortion estimates for approximate Bayesian inference UAI 2020 Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020 Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020 Dynamic Time Lag Regression: Predicting What & When ICLR 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020 Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020 Exponential ergodicity of mirror-Langevin diffusions NeurIPS 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020 Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Flexible mean field variational inference using mixtures of non-overlapping exponential families NeurIPS 2020