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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

FlowHMM: Flow-based continuous hidden Markov models NIPS 2022
Functional Ensemble Distillation NIPS 2022
Nonparametric Relational Models with Superrectangulation AISTATS 2022
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Gardner formula for Ising perceptron models at small densities COLT 2022
Faster Kernel Interpolation for Gaussian Processes AISTATS 2021
Posterior Meta-Replay for Continual Learning NIPS 2021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NIPS 2021
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021
Hierarchical infinite relational model UAI 2021
On the Parameterized Complexity of Polytree Learning IJCAI 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
AGENT: A Benchmark for Core Psychological Reasoning ICML 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach NIPS 2021
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph CVPR 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NIPS 2021
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees RSS 2021
Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021
Conformal Bayesian Computation NIPS 2021
Measure Transport with Kernel Stein Discrepancy AISTATS 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets NIPS 2021
Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021
ExGAN: Adversarial Generation of Extreme Samples AAAI 2021