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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CORL 2023
Dexterous Functional Grasping CORL 2023
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference CORL 2023
$α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation CORL 2023
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023
Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing AAAI 2023
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023
Beam Search Optimized Batch Bayesian Active Learning AAAI 2023
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning AAAI 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023
Non-reversible Parallel Tempering for Deep Posterior Approximation AAAI 2023
Estimating Average Causal Effects from Patient Trajectories AAAI 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023
Design Amortization for Bayesian Optimal Experimental Design AAAI 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023
The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023
Evidential Conditional Neural Processes AAAI 2023
Latent Autoregressive Source Separation AAAI 2023