Probabilistic Modeling
2,617 papers
Papers per year
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11
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64
62
49
66
100
73
138
153
138
89
118
108
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159
218
163
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Papers
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations
PGM 2020
Supervised Learning with Background Knowledge
PGM 2020
Switching Poisson Gamma Dynamical Systems
IJCAI 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
UAI 2020
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference
AAAI 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes
JMLR 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
CVPR 2020
Temporal Logics Over Finite Traces with Uncertainty
AAAI 2020
Testing Determinantal Point Processes
NeurIPS 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians
COLT 2020
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks
UAI 2020
The Potts-Ising model for discrete multivariate data
NeurIPS 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
ICLR 2020
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest
AAAI 2020
Towards Competitive N-gram Smoothing
AISTATS 2020
Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors
EMNLP 2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
EMNLP 2020
Tree-Structured Neural Topic Model
ACL 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks
AAAI 2020
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks
PGM 2020
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment
CVPR 2020
Uncertainty Quantification for Inferring Hawkes Networks
NeurIPS 2020
Unsupervised Deep Shape Descriptor With Point Distribution Learning
CVPR 2020
Wasserstein Control of Mirror Langevin Monte Carlo
COLT 2020