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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020
The impact of preprint servers in the formation of novel ideas EMNLP 2020
Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020
Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020
Tuning Causal Discovery Algorithms PGM 2020
Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks AAAI 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
Capsule Routing via Variational Bayes AAAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020
Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020
Optimizing Dynamic Structures with Bayesian Generative Search ICML 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
Baxter Permutation Process NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Reconsidering Generative Objectives For Counterfactual Reasoning NIPS 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment ACL 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Bayesian Sparsification of Deep C-valued Networks ICML 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020