Bayesian & Probabilistic

Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Nearest neighbor search under uncertainty UAI 2021 Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Neural ODE Processes ICLR 2021 Neural Temporal Point Processes: A Review IJCAI 2021 Neural Thompson Sampling ICLR 2021 Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm NeurIPS 2021 Nonparametric Decomposition of Sparse Tensors ICML 2021 Nonparametric Hamiltonian Monte Carlo ICML 2021 Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021 No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021 Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021 On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021 On the Complexity of Sum-of-Products Problems over Semirings AAAI 2021 On the Convex Combination of Determinantal Point Processes ACML 2021 On the Learnability of Knowledge in Multi-Agent Logics IJCAI 2021 On the Out-of-distribution Generalization of Probabilistic Image Modelling NeurIPS 2021 On the Parameterized Complexity of Polytree Learning IJCAI 2021 On the Suboptimality of Thompson Sampling in High Dimensions NeurIPS 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021