conftrace_

posterior estimation

34 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) simulation-based inference (31) posterior distribution (259) gaussian process (1200) markov chain monte carlo (725) active learning (1301) unsupervised learning (3264) approximate bayesian computation (33) bayesian network (378)

Papers

Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025
Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025
Unrolled denoising networks provably learn to perform optimal Bayesian inference NIPS 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NIPS 2024
Consistency Models for Scalable and Fast Simulation-Based Inference NIPS 2024
Sound Event Bounding Boxes INTERSPEECH 2024
Globally Convergent Variational Inference NIPS 2024
SLiM: Speculative Decoding with Hypothesis Reduction NAACL 2024
Preferential Normalizing Flows NIPS 2024
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
On Truthing Issues in Supervised Classification JMLR 2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning AAAI 2023
Bayesian Estimation of Differential Privacy ICML 2023
Compositional Score Modeling for Simulation-Based Inference ICML 2023
Flow Matching for Scalable Simulation-Based Inference NIPS 2023
Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022
Sequential core-set Monte Carlo UAI 2021
Unsupervised Bayesian Adaptation of PLDA for Speaker Verification INTERSPEECH 2021
Model Selection for Bayesian Autoencoders NIPS 2021
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019