conftrace_

posterior distribution

259 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) uncertainty quantification (1393) bayesian neural network (201) thompson sampling (237) gaussian process (1200) neural network (6616) kullback-leibler divergence (181) generative model (2892)

Papers

TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NIPS 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NIPS 2023
Event Temporal Relation Extraction with Bayesian Translational Model EACL 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Adversarial robustness of amortized Bayesian inference ICML 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective NIPS 2023
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset IJCAI 2023
Bayesian Estimation of Differential Privacy ICML 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023
Tree Variational Autoencoders NIPS 2023
Stein $\Pi$-Importance Sampling NIPS 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
Target-Side Augmentation for Document-Level Machine Translation ACL 2023
Uncertainty Quantification via Neural Posterior Principal Components NIPS 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech INTERSPEECH 2023
Compositional Score Modeling for Simulation-Based Inference ICML 2023
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023
Reinforcement Causal Structure Learning on Order Graph AAAI 2023
GFlowOut: Dropout with Generative Flow Networks ICML 2023