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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Cascading Sum-Product Networks using Robustness PGM 2018
A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses NAACL 2018
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018
Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018
Learning a Mixture of Two Multinomial Logits ICML 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NIPS 2018
Leveraging Latent Label Distributions for Partial Label Learning IJCAI 2018
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017
Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences IJCNLP 2017
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task IJCNLP 2017
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields IJCNLP 2017
Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017
Faster Greedy MAP Inference for Determinantal Point Processes ICML 2017
Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017
Hierarchical Methods of Moments NIPS 2017
Inferring Generative Model Structure with Static Analysis NIPS 2017
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016
Non-linear Causal Inference using Gaussianity Measures JMLR 2016