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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification AAAI 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
Estimating Density Models with Truncation Boundaries using Score Matching JMLR 2022
Kernel Interpolation with Sparse Grids NIPS 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
Modeling the Machine Learning Multiverse NIPS 2022
Phase transitions in when feedback is useful NIPS 2022
Nonparametric Embeddings of Sparse High-Order Interaction Events ICML 2022
Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates EMNLP 2022
Thinned random measures for sparse graphs with overlapping communities NIPS 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NIPS 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NIPS 2022
Efficient Sampling on Riemannian Manifolds via Langevin MCMC NIPS 2022
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022
SnAKe: Bayesian Optimization with Pathwise Exploration NIPS 2022
Split Hierarchical Variational Compression CVPR 2022
Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022
Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022
Local-Global MCMC kernels: the best of both worlds NIPS 2022
On the relationship between variational inference and auto-associative memory NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
Relational Neural Markov Random Fields AISTATS 2022