Bayesian & Probabilistic

Variational Neural Machine Translation with Normalizing Flows ACL 2020 Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020 VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020 Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 Word Embeddings as Tuples of Feature Probabilities ACL 2020 Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020 A Bayesian Approach to Robust Reinforcement Learning UAI 2019 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 Active Change-Point Detection ACML 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 Adaptive Confidence Smoothing for Generalized Zero-Shot Learning CVPR 2019 Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks AAAI 2019 A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles AAAI 2019 A Generalization Bound for Online Variational Inference ACML 2019 A Generative Adversarial Density Estimator CVPR 2019 A Generative Model for Dynamic Networks with Applications AAAI 2019 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 A Learnable Safety Measure CoRL 2019 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019