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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

The impact of preprint servers in the formation of novel ideas EMNLP 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NIPS 2020
Online Bayesian Goal Inference for Boundedly Rational Planning Agents NIPS 2020
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment ACL 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods NIPS 2020
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020
Optimizing Dynamic Structures with Bayesian Generative Search ICML 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NIPS 2020
Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020
Stationary Activations for Uncertainty Calibration in Deep Learning NIPS 2020
Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks NIPS 2020
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks AAAI 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
Reconsidering Generative Objectives For Counterfactual Reasoning NIPS 2020
Ensembling geophysical models with Bayesian Neural Networks NIPS 2020
A Bayesian Nonparametrics View into Deep Representations NIPS 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NIPS 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NIPS 2020