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bayesian learning

185 papers

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Co-occurring keywords

bayesian inference (1904) variational inference (2069) uncertainty quantification (1365) markov chain monte carlo (724) probabilistic modeling (851) posterior distribution (259) gaussian process (1198) transfer learning (5442) reinforcement learning (4122) stochastic gradient (296)

Papers

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Block Sparse Bayesian Learning: A Diversified Scheme NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
Sparse Variational Student-t Processes AAAI 2024
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NIPS 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023
Defending Black-Box Skeleton-Based Human Activity Classifiers AAAI 2023
Generative Label Enhancement with Gaussian Mixture and Partial Ranking AAAI 2023
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems INTERSPEECH 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023
Planning with Hidden Parameter Polynomial MDPs AAAI 2023