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Bayesian Inference

4,821 papers

Papers per year

Papers

Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021
Cascaded Head-colliding Attention IJCNLP 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NIPS 2021
Active Bayesian Assessment of Black-Box Classifiers AAAI 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
Misspecified Gaussian Process Bandit Optimization NIPS 2021
Information Bottleneck Approach to Spatial Attention Learning IJCAI 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021
Understanding Partial Multi-Label Learning via Mutual Information NIPS 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Modified Frank Wolfe in Probability Space NIPS 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021
Information is Power: Intrinsic Control via Information Capture NIPS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
A PAC-Bayes Analysis of Adversarial Robustness NIPS 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021
Soft Tensor Regression JMLR 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021