Bayesian Inference

A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play RSS 2020 A Bayesian Perspective on Training Speed and Model Selection NeurIPS 2020 A Bilingual Generative Transformer for Semantic Sentence Embedding EMNLP 2020 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning CoRL 2020 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation ACL 2020 A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NeurIPS 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020 Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020 All your loss are belong to Bayes NeurIPS 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Amortised Learning by Wake-Sleep ICML 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020