conditional probability

Consistent Estimation given Missing Data PGM 2018 Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NeurIPS 2018 Learning Features from Co-occurrences: A Theoretical Analysis COLING 2018 LHD: Improving Cache Hit Rate by Maximizing Hit Density NSDI 2018 Naive Bayesian Classifiers with Extreme Probability Features PGM 2018 On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017 Robust Conditional Probabilities NeurIPS 2017 Conditional Probability Estimation PGM 2016 On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting JMLR 2016 Synergy of Monotonic Rules JMLR 2016 Topic-Informed Neural Machine Translation COLING 2016 Convex Risk Minimization and Conditional Probability Estimation COLT 2015 Dealing with small data: On the generalization of context trees ICML 2015 Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 On Finding Predictors for Arbitrary Families of Processes JMLR 2010 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 HPB: A Model for Handling BN Nodes with High Cardinality Parents JMLR 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004