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Papers (including subtopics)

BA-Net: Dense Bundle Adjustment Networks ICLR 2019 BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NeurIPS 2019 Batched Multi-armed Bandits Problem NeurIPS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 Batch Policy Learning under Constraints ICML 2019 Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem COLT 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019 Bayesian Adaptive Superpixel Segmentation ICCV 2019 Bayesian Batch Active Learning as Sparse Subset Approximation NeurIPS 2019 Bayesian Counterfactual Risk Minimization ICML 2019 Bayesian Deconditional Kernel Mean Embeddings ICML 2019 Bayesian Deep Collaborative Matrix Factorization AAAI 2019 Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes ICLR 2019 Bayesian Estimator for Partial Trajectory Alignment RSS 2019 Bayesian Execution Skill Estimation AAAI 2019 Bayesian Fairness AAAI 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019 Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition ICCV 2019 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Bayesian HMM Based x-Vector Clustering for Speaker Diarization Interspeech 2019 Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations IJCAI 2019 Bayesian Joint Estimation of Multiple Graphical Models NeurIPS 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019