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probabilistic modeling

851 papers

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PM

Co-occurring keywords

bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) uncertainty quantification (1365) generative model (2889) bayesian network (378) causal inference (1619) latent variable model (564) probabilistic inference (310)

Papers

Classifying With Confidence From Incomplete Information JMLR 2013
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013
Recognising Human-Object Interaction via Exemplar Based Modelling ICCV 2013
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013
Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NIPS 2013
Learning Markov Networks With Arithmetic Circuits AISTATS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Probabilistic Movement Primitives NIPS 2013