conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4,821 papers

Papers per year

Papers

Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
No Regrets for Learning the Prior in Bandits NIPS 2021
Natural continual learning: success is a journey, not (just) a destination NIPS 2021
Variational Bayesian Reinforcement Learning with Regret Bounds NIPS 2021
Robustness via Uncertainty-aware Cycle Consistency NIPS 2021
Efficient constrained sampling via the mirror-Langevin algorithm NIPS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Federated-EM with heterogeneity mitigation and variance reduction NIPS 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NIPS 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NIPS 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CORL 2021
RoCUS: Robot Controller Understanding via Sampling CORL 2021
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CORL 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CORL 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CORL 2021
Neural Posterior Domain Randomization CORL 2021
Distributional Depth-Based Estimation of Object Articulation Models CORL 2021
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CORL 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Model Uncertainty Guides Visual Object Tracking AAAI 2021
Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021
GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021