Bayesian Inference

Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021 Quantifying Contextual Aspects of Inter-annotator Agreement in Intertextuality Research EMNLP 2021 Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021 SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021 Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models AISTATS 2020 Baxter Permutation Process NeurIPS 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Bayesian Attention Modules NeurIPS 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 Bayesian joint state and parameter tracking in autoregressive models L4DC 2020 Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020 Bayesian Online Prediction of Change Points UAI 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Deep Orientation Uncertainty Learning based on a Bingham Loss ICLR 2020