Probabilistic Modeling
2,617 papers
Papers per year
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11
3
6
64
62
49
66
100
73
138
153
138
89
118
108
150
159
218
163
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146
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Papers
Graphical Models for Inference with Missing Data
NeurIPS 2013
Hallucinated Humans as the Hidden Context for Labeling 3D Scenes
CVPR 2013
Hidden Factor Analysis for Age Invariant Face Recognition
ICCV 2013
Hierarchical Tensor Decomposition of Latent Tree Graphical Models
ICML 2013
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation
NeurIPS 2013
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras
ICCV 2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
COLT 2013
Illuminant Chromaticity from Image Sequences
ICCV 2013
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes
CVPR 2013
Inference algorithms for pattern-based CRFs on sequence data
ICML 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NeurIPS 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach
NeurIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NeurIPS 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
JMLR 2013
Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras
CVPR 2013
Learning and using language via recursive pragmatic reasoning about other agents
NeurIPS 2013
Learning Chordal Markov Networks by Constraint Satisfaction
NeurIPS 2013
Learning CRFs for Image Parsing with Adaptive Subgradient Descent
ICCV 2013
Learning Feature Selection Dependencies in Multi-task Learning
NeurIPS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs
NeurIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
NeurIPS 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes
AISTATS 2013
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models
ICML 2013
Learning the Local Statistics of Optical Flow
NeurIPS 2013
Learning the Structure of Sum-Product Networks
ICML 2013