Year Sort ascending Title Author Other URL Links Keywords
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor Journal of Machine Learning Research PAC-Bayes, generalization bounds, learning theory, structured prediction
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2016 Unsupervised Models for Predicting Strategic Relations between Organizations Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff IEEE ACM International Conference on Advances in Social Networks Analysis and Mining PDF
2015 The Benefits of Learning with Strongly Convex Approximate Inference Ben London, Bert Huang, Lise Getoor International Conference on Machine Learning (ICML) PDF
2015 The Benefits of Learning with Strongly Convex Approximate Inference Ben London, Bert Huang, Lise Getoor International Conference on Machine Learning (ICML) PDF
2015 The Benefits of Learning with Strongly Convex Approximate Inference Ben London, Bert Huang, Lise Getoor International Conference on Machine Learning (ICML) PDF
2015 Budgeted Online Collective Inference Jay Pujara, Ben London, Lise Getoor Uncertainty in Artificial Intelligence PDF
2015 Budgeted Online Collective Inference Jay Pujara, Ben London, Lise Getoor Uncertainty in Artificial Intelligence PDF
2015 Budgeted Online Collective Inference Jay Pujara, Ben London, Lise Getoor Uncertainty in Artificial Intelligence PDF
2015 Collective Graph Identification Galileo Namata, Ben London, Lise Getoor ACM Transactions on Knowledge Discovery from Data PDF
2015 Collective Graph Identification Galileo Namata, Ben London, Lise Getoor ACM Transactions on Knowledge Discovery from Data PDF
2015 Collective Graph Identification Galileo Namata, Ben London, Lise Getoor ACM Transactions on Knowledge Discovery from Data PDF
2015 Collective Spammer Detection in Evolving Multi-Relational Social Networks Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) PDF
2015 Collective Spammer Detection in Evolving Multi-Relational Social Networks Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) PDF
2015 Collective Spammer Detection in Evolving Multi-Relational Social Networks Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) PDF
2015 Collective Spammer Detection in Evolving Multi-Relational Social Networks Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) PDF