Bayesian Inference

Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021 Adaptive Mixed Component LDA for Low Resource Topic Modeling EACL 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Deep and Recurrent Architecture for Primate Vocalization Classification Interspeech 2021 A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021 A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NeurIPS 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 AgeFlow: Conditional Age Progression and Regression with Normalizing Flows IJCAI 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 A Generative Model for Duration-Dependent Score Calibration Interspeech 2021 A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021 AGENT: A Benchmark for Core Psychological Reasoning ICML 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021 A Hybrid Approximation to the Marginal Likelihood AISTATS 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 A Language for Counterfactual Generative Models ICML 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021