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Probabilistic Modeling

2591 directly classified papers

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Papers

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
Mutual CRF-GNN for Few-Shot Learning CVPR 2021
When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021
Bayesian Topic Regression for Causal Inference EMNLP 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NIPS 2021
Latent variable modeling with random features AISTATS 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
Faster Kernel Interpolation for Gaussian Processes AISTATS 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NIPS 2021
PixelPyramids: Exact Inference Models From Lossless Image Pyramids ICCV 2021
Spherical Confidence Learning for Face Recognition CVPR 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021
ExGAN: Adversarial Generation of Extreme Samples AAAI 2021
Measure Transport with Kernel Stein Discrepancy AISTATS 2021
An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
Counterfactual Mean Embeddings JMLR 2021
Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021